Data Science Mega-Course: #Build {120-Projects In 120-Days}

Build & Deploy Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure, GCP, Heruko Cloud)

What you'll learn
Make powerful analysis, Make robust Machine Learning models
Master Machine Learning on Python
Know which Machine Learning model to choose for each type of problem
Implement Machine Learning Algorithms
Explore how to deploy your machine learning models.
Understand the full product workflow for the machine learning lifecycle.
Present Data Science projects to management
Real life case studies and projects to understand how things are done in the real world
Build a portfolio of work to have on your resume
Requirements
Basic knowledge of machine learning
Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.A Data Scientist enjoys a position of prestige in the company. The company relies on its expertise to make data-driven decisions and enable them to navigate in the right direction.Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example – A commercial industry will require a data scientist to analyze their sales.A healthcare company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.Still, the pay scale of Data scientists is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.Due to several lucrative perks, Data Science is an attractive field. This, combined with the number of vacancies in Data Science makes it an untouched gold mine. Therefore, you should learn Data Science in order to enjoy a fruitful career.In This Course, We Are Going To Work On 120 Real World Projects Listed Below:Project-1: Pan Card Tempering Detector App -Deploy On HerokuProject-2: Dog breed prediction Flask AppProject-3: Image Watermarking App -Deploy On HerokuProject-4: Traffic sign classificationProject-5: Text Extraction From Images ApplicationProject-6: Plant Disease Prediction Streamlit AppProject-7: Vehicle Detection And Counting Flask AppProject-8: Create A Face Swapping Flask AppProject-9: Bird Species Prediction Flask AppProject-10: Intel Image Classification Flask AppProject-11: Language Translator App Using IBM Cloud Service -Deploy On HerokuProject-12: Predict Views On Advertisement Using IBM Watson -Deploy On HerokuProject-13: Laptop Price Predictor -Deploy On HerokuProject-14: WhatsApp Text Analyzer -Deploy On HerokuProject-15: Course Recommendation System -Deploy On HerokuProject-16: IPL Match Win Predictor -Deploy On HerokuProject-17: Body Fat Estimator App -Deploy On Microsoft AzureProject-18: Campus Placement Predictor App -Deploy On Microsoft AzureProject-19: Car Acceptability Predictor -Deploy On Google CloudProject-20: Book Genre Classification App -Deploy On Amazon Web ServicesProject 21 : DNA classification for finding E.Coli - Deploy On AWSProject 22 : Predict the next word in a sentence. - AWS - Deploy On AWSProject 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWSProject 24 : Keyword Extraction from text using NLP - Deploy On AzureProject 25 : Correcting wrong spellings - Deploy On AzureProject 26 : Music popularity classification - Deploy On Google App EngineProject 27 : Advertisement Classification - Deploy On Google App EngineProject 28 : Image Digit Classification - Deploy On AWSProject 29 : Emotion Recognition using Neural Network - Deploy On AWSProject 30 : Breast cancer Classification - Deploy On AWSProject-31: Sentiment Analysis Django App -Deploy On HerokuProject-32: Attrition Rate Django ApplicationProject-33: Find Legendary Pokemon Django App -Deploy On HerokuProject-34: Face Detection Streamlit AppProject-35: Cats Vs Dogs Classification Flask AppProject-36: Customer Revenue Prediction App -Deploy On HerokuProject-37: Gender From Voice Prediction App -Deploy On HerokuProject-38: Restaurant Recommendation SystemProject-39: Happiness Ranking Django App -Deploy On HerokuProject-40: Forest Fire Prediction Django App -Deploy On HerokuProject-41: Build Car Prices Prediction App -Deploy On HerokuProject-42: Build Affair Count Django App -Deploy On HerokuProject-43: Build Shrooming Predictions App -Deploy On HerokuProject-44: Google Play App Rating prediction With Deployment On HerokuProject-45: Build Bank Customers Predictions Django App -Deploy On HerokuProject-46: Build Artist Sculpture Cost Prediction Django App -Deploy On HerokuProject-47: Build Medical Cost Predictions Django App -Deploy On HerokuProject-48: Phishing Webpages Classification Django App -Deploy On HerokuProject-49: Clothing Fit-Size predictions Django App -Deploy On HerokuProject-50: Build Similarity In-Text Django App -Deploy On HerokuProject-51: Black Friday Sale ProjectProject-52: Sentiment Analysis ProjectProject-53: Parkinson’s Disease Prediction ProjectProject-54: Fake News Classifier ProjectProject-55: Toxic Comment Classifier ProjectProject-56: IMDB Movie Ratings PredictionProject-57: Indian Air Quality PredictionProject-58: Covid-19 Case AnalysisProject-59: Customer Churning PredictionProject-60: Create A ChatBotProject-61: Video Game sales AnalysisProject-62: Zomato Restaurant AnalysisProject-63: Walmart Sales ForecastingProject-64 : Sonic wave velocity prediction using Signal Processing TechniquesProject-65 : Estimation of Pore Pressure using Machine LearningProject-66 : Audio processing using MLProject-67 : Text characterisation using Speech recognitionProject-68 : Audio classification using Neural networksProject-69 : Developing a voice assistantProject-70 : Customer segmentationProject-71 : FIFA 2019 AnalysisProject-72 : Sentiment analysis of web scrapped dataProject-73 : Determining Red Vine QualityProject-74 : Customer Personality AnalysisProject-75 : Literacy Analysis in IndiaProject-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)Project-79: Petrol Price Forecasting Using Auto KerasProject-80: Bank Customer Churn Prediction Using H2O Auto MLProject-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)Project-85: Predicting Bike Rentals Count Using ML And H2O Auto MLProject-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)Project-89: Employee Evaluation For Promotion Using ML And Eval Auto MLProject-90: Drinking Water Potability Prediction Using ML And H2O Auto MLProject-91: Image Editor Application With OpenCV And TkinterProject-92: Brand Identification Game With Tkinter And Sqlite3Project-93: Transaction Application With Tkinter And Sqlite3Project-94: Learning Management System With DjangoProject-95: Create A News Portal With DjangoProject-96: Create A Student Portal With DjangoProject-97: Productivity Tracker With Django And PlotlyProject-98: Create A Study Group With DjangoProject-99: Building Crop Guide Application with PyQt5, SQLiteProject-100: Building Password Manager Application With PyQt5, SQLiteProject-101: Create A News Application With PythonProject-102: Create A Guide Application With PythonProject-103: Building The Chef Web Application with Django, PythonProject-104: Syllogism-Rules of Inference Solver Web ApplicationProject-105: Building Vision Web Application with Django, PythonProject-106: Building Budget Planner Application With PythonProject-107: Build Tic Tac Toe GameProject-108: Random Password Generator Website using DjangoProject-109: Building Personal Portfolio Website Using DjangoProject-110: Todo List Website For Multiple UsersProject-111: Crypto Coin Planner GUI ApplicationProject-112: Your Own Twitter Bot -python, request, API, deployment, tweepyProject-113: Create A Python Dictionary Using python, Tkinter, JSONProject-114: Egg-Catcher Game using pythonProject-115: Personal Routine Tracker Application using pythonProject-116: Building Screen -Pet using Tkinter & CanvasProject-117: Building Caterpillar Game Using Turtle and PythonProject-118: Building Hangman Game Using PythonProject-119: Developing our own Smart Calculator Using Python and TkinterProject-120: Image-based steganography Using Python and pillowsTip: Create A 60 Days Study Plan Or 120 Day Study Plan, Spend 1-3hrs Per Day, Build 120 Projects In 60 Days Or  120 Projects In 120 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Overview

Section 1: Introduction To The Course

Lecture 1 Course Introduction

Lecture 2 Course Outline Video

Lecture 3 Udemy Course Feedback Info

Section 2: Project-1: Pan Card Tempering Detector App -Deploy On Heroku

Lecture 4 Introduction To Pan Card Tempering Detector

Lecture 5 Loading libraries and dataset

Lecture 6 Creating the pancard detector with opencv

Lecture 7 Creating the Flask App

Lecture 8 Creating Important functions

Lecture 9 Deploy the app in Heroku

Lecture 10 Testing the deployed pan card detector

Lecture 11 Download The Project Files

Section 3: Project-2: Dog breed prediction Flask App

Lecture 12 Introduction to dog breed prediction

Lecture 13 Importing the data and libraries

Lecture 14 Data Preprocessing

Lecture 15 Build and Train Model

Lecture 16 Testing the model

Lecture 17 Creating the Flask App

Lecture 18 Running the app in system

Lecture 19 Download The Project Files

Section 4: Project-3: Image Watermarking App -Deploy On Heroku

Lecture 20 Introduction Image Watermarking

Lecture 21 Importing libraries and logo

Lecture 22 Create text and image watermark

Lecture 23 Creating the app

Lecture 24 Deploying the app in Heroku

Lecture 25 Download The Project Files

Section 5: Project-4: Traffic sign classification

Lecture 26 Introduction to traffic sign classification

Lecture 27 Importing the data and libraries

Lecture 28 Image processing

Lecture 29 Creating and testing the model

Lecture 30 Creating model for test set

Lecture 31 Download The Project Files

Section 6: Project-5: Text Extraction From Images Application

Lecture 32 Introduction to text extraction

Lecture 33 Importing libraries and data

Lecture 34 Extracting the test from image

Lecture 35 Modifiying the extractor

Lecture 36 creating the extractor app

Lecture 37 Running the extractor app

Lecture 38 Download The Project Files

Section 7: Project-6: Plant Disease Prediction

Lecture 39 Introduction

Lecture 40 Importing libraries and data

Lecture 41 Understanding the data and data preprocessing

Lecture 42 Model building

Lecture 43 Creating an app using streamlit

Lecture 44 Download the project files

Section 8: Project-7: Detect and count vehicles

Lecture 45 Introduction

Lecture 46 Importing libraries and data

Lecture 47 Transforming Images and creating output

Lecture 48 Creating a Flask app

Lecture 49 Download the project files

Section 9: Project-8: Create A Face Swapping Flask App

Lecture 50 Intro to Face Swap

Lecture 51 Importing libraries and data

Lecture 52 Data preprocessing and creating output

Lecture 53 Creating A Flask App

Lecture 54 Download The Project Files

Section 10: Project-9: Bird Species Prediction Flask App

Lecture 55 Introduction to Bird Species Prediction

Lecture 56 Improting Libraries And Data

Lecture 57 Data processing

Lecture 58 Creating ML Model

Lecture 59 Creating A Flask App

Lecture 60 Download The Project Files

Section 11: Project-10: Intel Image Classification Flask App

Lecture 61 Introduction to Intel Image Classification

Lecture 62 Importing and processing data

Lecture 63 Creating a Model

Lecture 64 Creating a Flask App

Lecture 65 Download The Project Files

Section 12: Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku

Lecture 66 Introduction

Lecture 67 Setting Service

Lecture 68 Integrating Service

Lecture 69 Coding the UI

Lecture 70 Deployment on Heroku

Lecture 71 Download The Project Files

Section 13: Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

Lecture 72 Project Overview

Lecture 73 Introduction

Lecture 74 Setting up Watson Studio Part-1

Lecture 75 Setting up Watson Studio Part-2

Lecture 76 Deploying the Model on Deployment Center

Lecture 77 Integrating Watson Service with UI

Lecture 78 Deployment on Heroku Cloud

Lecture 79 Download The Project Files

Section 14: Project-13: Laptop Price Predictor -Deploy On Heroku

Lecture 80 Overview

Lecture 81 EDA Part-1

Lecture 82 EDA Part-2

Lecture 83 EDA Part-3

Lecture 84 EDA Part-4

Lecture 85 EDA Part-5

Lecture 86 EDA Part-6

Lecture 87 EDA Part-7

Lecture 88 Model Building Part-1

Lecture 89 Model Building Part-2

Lecture 90 Model Building Part-3

Lecture 91 Model Building Part-4

Lecture 92 Model Building Part-5

Lecture 93 Integrating with UI

Lecture 94 Deployment on Heroku

Lecture 95 Download The Project Files

Section 15: Project-14: WhatsApp Text Analyzer -Deploy On Heroku

Lecture 96 Introduction

Lecture 97 Fetching Data from Whatsapp

Lecture 98 Project Structure

Lecture 99 Text Processing Part 1

Lecture 100 Text Processing Part2

Lecture 101 Text Processing Part 3

Lecture 102 Text Processing Part4

Lecture 103 Text Analytics Part 1

Lecture 104 Text Analytics Part 2

Lecture 105 Text Analytics Part 3

Lecture 106 Text Analytics Part4

Lecture 107 Text Analytics Part5

Lecture 108 Text Analytics Part 6

Lecture 109 Deployment on Heroku Cloud

Lecture 110 Download The Project Files

Section 16: Project-15: Course Recommendation System -Deploy On Heroku

Lecture 111 Introduction

Lecture 112 Coding Recommendation System

Lecture 113 Integrating with Flask Server

Lecture 114 Exploratory Data Analysis

Lecture 115 Integrating Python Code with JavaScript

Lecture 116 Deployment on Heroku Cloud

Lecture 117 Download The Project Files

Section 17: Project-16: IPL Match Win Predictor -Deploy On Heroku

Lecture 118 Introduction

Lecture 119 EDA Part 1

Lecture 120 EDA Part 2

Lecture 121 EDA Part 3

Lecture 122 EDA Part 4

Lecture 123 Model Building

Lecture 124 Coding the UI

Lecture 125 Deployment on Heroku Cloud

Lecture 126 Download The Project Files

Section 18: Project-17: Body Fat Estimator App -Deploy On Microsoft Azure

Lecture 127 Introduction

Lecture 128 EDA Part 1

Lecture 129 EDA Part 2

Lecture 130 Feature Selection Part 1

Lecture 131 Feature Selection Part 2

Lecture 132 Model Building

Lecture 133 Model Evaluation

Lecture 134 Coding the UI Part 1

Lecture 135 Coding the UI Part 2

Lecture 136 Model Deployment on Azure Part 1

Lecture 137 Model Deployment on Azure Part 2

Lecture 138 Download The Project Files

Section 19: Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure

Lecture 139 Introduction

Lecture 140 Data Preprocessing

Lecture 141 EDA Part 1

Lecture 142 EDA Part 2

Lecture 143 Feature Selection

Lecture 144 Model Building

Lecture 145 Hyper Parameter Tuning, Model Testing

Lecture 146 Coding the UI Part 1

Lecture 147 Coding the UI Part 2

Lecture 148 Coding the UI Part 3

Lecture 149 Deployment Part 1

Lecture 150 Deployment Part 2

Lecture 151 Download The Project Files

Section 20: Project-19: Car Acceptability Predictor -Deploy On Google Cloud

Lecture 152 Introduction

Lecture 153 Data Preprocessing

Lecture 154 Model Building

Lecture 155 Coding the UI

Lecture 156 Integrating Jinja Framework

Lecture 157 Integrating JavaScript with Flask

Lecture 158 Deployment on Google Cloud Platform

Lecture 159 Download The Project Files

Section 21: Project-20: Book Genre Classification App -Deploy On Amazon Web Services

Lecture 160 Introduction

Lecture 161 Text Processing Part1

Lecture 162 Text Processing Part2

Lecture 163 Model Building

Lecture 164 Model Testing

Lecture 165 Integrating Model with Flask

Lecture 166 Touch points on AWS

Lecture 167 Deploying model on AWS EC2 instance

Lecture 168 Fixing the Errors

Lecture 169 Download The Project Files

Section 22: Project 21 : DNA classification for finding E.Coli - Deploy On AWS

Lecture 170 Introduction to project

Lecture 171 Understanding the libraries and dataset

Lecture 172 Preprocessing the data

Lecture 173 Building and training the model

Lecture 174 Understanding MLP Classifier model

Lecture 175 Understanding the Django framework

Lecture 176 Running our Django application

Lecture 177 Hosting on AWS

Lecture 178 Hosting on AWS 2

Lecture 179 Hosting on AWS 3

Lecture 180 Download The Project Files

Section 23: Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS

Lecture 181 Introduction

Lecture 182 Understanding about libraries and preprocessing dataset

Lecture 183 Text tokenization and vectorization

Lecture 184 Building and training the model

Lecture 185 Django framework

Lecture 186 Setting up the website and understanding the flow

Lecture 187 Understanding the AWS cloud system

Lecture 188 Setting up the server and hosting the website

Lecture 189 Download The Project Files

Section 24: Project 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWS

Lecture 190 Introduction

Lecture 191 Understanding the libraries and dataset

Lecture 192 Building and training the model

Lecture 193 Understanding the Django Framework

Lecture 194 Working with the django framework to build the website

Lecture 195 Instantiating the instance with ec2

Lecture 196 Setting and running the server

Lecture 197 Download The Project Files

Section 25: Project 24 : Keyword Extraction from text using NLP - Deploy On Azure

Lecture 198 Introduction

Lecture 199 Introduction to libraries and data preprocessing

Lecture 200 Developing the TF-IDF model

Lecture 201 Understanding the django framework

Lecture 202 Finalizing the website

Lecture 203 Setting up the Azure VM

Lecture 204 Setting and running the server

Lecture 205 Download The Project Files

Section 26: Project 25 : Correcting wrong spellings - Deploy On Azure

Lecture 206 Introduction

Lecture 207 Brief of libraries and preprocessing

Lecture 208 Developing the NLP model

Lecture 209 Setting up the django application

Lecture 210 Working on the django website

Lecture 211 Creating the VM instance on Azure

Lecture 212 Setting up the VM for hosting

Lecture 213 Download The Project Files

Section 27: Project 26 : Music popularity classification - Deploy On Google App Engine

Lecture 214 Introduction

Lecture 215 Creating dataset through spotify API

Lecture 216 Understanding the libraries and preprocessing the data

Lecture 217 Developing the model

Lecture 218 Setting up the django project

Lecture 219 Running our django application

Lecture 220 Setting up the VM

Lecture 221 Setting up the VM part-2

Lecture 222 Setting the code in VM

Lecture 223 Download The Project Files

Section 28: Project 27 : Advertisement Classification - Deploy On Google App Engine

Lecture 224 Introduction

Lecture 225 Understanding the libraries and the dataset

Lecture 226 Understanding TF-IDF

Lecture 227 Developing the LSTM model

Lecture 228 Configuring the django project

Lecture 229 Running the django application

Lecture 230 Setting up the VM part-1

Lecture 231 Setting up the VM part-2

Lecture 232 Running the VM

Lecture 233 Download The Project Files

Section 29: Project 28 : Image Digit Classification - Deploy On AWS

Lecture 234 Introduction

Lecture 235 Creating and preprocessing the dataset

Lecture 236 Building the baseline and CNN model

Lecture 237 Setting up the django application

Lecture 238 updating the website

Lecture 239 Instantiating the VM

Lecture 240 setting the code inside the VM

Lecture 241 Download The Project Files

Section 30: Project 29 : Emotion Recognition using Neural Network - Deploy On AWS

Lecture 242 Introduction

Lecture 243 Understanding the libraries and model

Lecture 244 Building and training the model

Lecture 245 Setting up the django project

Lecture 246 Running the django application

Lecture 247 Setting up the VM

Lecture 248 Running our code in the VM

Lecture 249 Download The Project Files

Section 31: Project 30 : Breast cancer Classification - Deploy On AWS

Lecture 250 Introduction

Lecture 251 Understanding the libraries and dataset

Lecture 252 Developing the model

Lecture 253 Setting up the django application

Lecture 254 Running the django application

Lecture 255 Setting up the VM

Lecture 256 Running the VM

Lecture 257 Download The Project Files

Section 32: Project-31: Sentiment Analysis Django App -Deploy On Heroku

Lecture 258 Introduction to Sentiment Analysis -Logistic Regression

Lecture 259 Project Notebook Google Colab

Lecture 260 Building Django App

Lecture 261 Deploying App in Heroku

Lecture 262 Download The Project Files

Section 33: Project-32: Attrition Rate Django Application

Lecture 263 Introduction

Lecture 264 Creating Colab Notebook

Lecture 265 Creating Django App

Lecture 266 Deploying App in heroku

Lecture 267 Download The Project Files

Section 34: Project-33: Find Legendary Pokemon Django App -Deploy On Heroku

Lecture 268 Introduction

Lecture 269 Creating Colab Notebook

Lecture 270 Creating Django App

Lecture 271 Deploying App in heroku

Lecture 272 Download The Project Files

Section 35: Project-34: Face Detection Streamlit App

Lecture 273 Introduction to face app

Lecture 274 Creating The Face App 1

Lecture 275 Creating The face app 2

Lecture 276 Creating The face app 3

Lecture 277 Download The Project Files

Section 36: Project-35: Cats Vs Dogs Classification Flask App

Lecture 278 Introduction To Cats Vs Dogs Classification

Lecture 279 Creating Project Notebook

Lecture 280 Building Model

Lecture 281 Building Flask App

Lecture 282 Building Flask App Deployment

Lecture 283 Download The Project Files

Section 37: Project-36: Customer Revenue Prediction App -Deploy On Heroku

Lecture 284 Introduction To Customer Revenue Prediction

Lecture 285 Colab Notebook

Lecture 286 Creating Flask App

Lecture 287 Deploying Flask App

Lecture 288 Download The Project Files

Section 38: Project-37: Gender From Voice Prediction App -Deploy On Heroku

Lecture 289 Introduction

Lecture 290 Creating Project Notebook

Lecture 291 Creating Project App Django

Lecture 292 Deploying The App

Lecture 293 Download The Project Files

Section 39: Project-38: Restaurant Recommendation System

Lecture 294 INtroduction

Lecture 295 Creating Colab Notebook

Lecture 296 Exploratory Data Analysis

Lecture 297 Data Analysis 2

Lecture 298 Download The Project Files

Section 40: Project-39: Happiness Ranking Django App -Deploy On Heroku

Lecture 299 Introduction to Happiness Ranking

Lecture 300 Project Notebook

Lecture 301 Creating Django

Lecture 302 Deploying Django App

Lecture 303 Download The Project Files

Section 41: Project-40: Forest Fire Prediction Django App -Deploy On Heroku

Lecture 304 Introduction To Forest Fire

Lecture 305 Project Notebook

Lecture 306 Project Notebook Part 2

Lecture 307 Creating Django App

Lecture 308 Deploying Django App

Lecture 309 Download The Project Files

Section 42: Project-41: Build Car Prices Prediction App -Deploy On Heroku

Lecture 310 Introduction

Lecture 311 Machine Learning model building part1

Lecture 312 Machine Learning model building part2

Lecture 313 Machine Learning model building part3

Lecture 314 Creating Django Application part1

Lecture 315 Creating Django Application part2

Lecture 316 Deploying on Heroku

Lecture 317 Download The Project Files

Section 43: Project-42: Build Affair Count Django App -Deploy On Heroku

Lecture 318 Introduction

Lecture 319 Intoductory Machine Learning model building

Lecture 320 Feature Building and Selection

Lecture 321 Model Building

Lecture 322 Django Application Introduction

Lecture 323 Django Application building

Lecture 324 Deploying on Heroku

Lecture 325 Download The Project Files

Section 44: Project-43: Build Shrooming Predictions App -Deploy On Heroku

Lecture 326 Introduction

Lecture 327 Importing libraries and Understanding data

Lecture 328 Building the model

Lecture 329 Building Django Application

Lecture 330 Deploying on Heroku

Lecture 331 Download The Project Files

Section 45: Project-44: Google Play App Rating prediction With Deployment On Heroku

Lecture 332 Introduction

Lecture 333 Introduction to libraries and dataset

Lecture 334 Preprocessing the data

Lecture 335 Building the model

Lecture 336 Django Application

Lecture 337 Deploying to Heroku

Lecture 338 Download The Project Files

Section 46: Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku

Lecture 339 Introduction

Lecture 340 Importing Libraries and understanding data

Lecture 341 Building and training the model

Lecture 342 Django Application

Lecture 343 Deploying on heroku

Lecture 344 Download The Project Files

Section 47: Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

Lecture 345 Introduction

Lecture 346 Understanding the data

Lecture 347 Outliers and Model

Lecture 348 Building Django Application

Lecture 349 Deploying to Heroku

Lecture 350 Download The Project Files

Section 48: Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku

Lecture 351 Introduction

Lecture 352 Introduction and handling the data

Lecture 353 Building the model

Lecture 354 Django Application

Lecture 355 Heroku Deployment

Lecture 356 Download The Project Files

Section 49: Project-48: Phishing Webpages Classification Django App -Deploy On Heroku

Lecture 357 Introduction

Lecture 358 Understanding the data

Lecture 359 Feature Selection and model building

Lecture 360 Django Application

Lecture 361 Deploying on Heroku

Lecture 362 Download The Project Files

Section 50: Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku

Lecture 363 Introduction

Lecture 364 Understanding the data

Lecture 365 Cleaning the data

Lecture 366 Building the model

Lecture 367 Implementing Django Application

Lecture 368 Deploying to heroku

Lecture 369 Download The Project Files

Section 51: Project-50: Build Similarity In-Text Django App -Deploy On Heroku

Lecture 370 Introduction

Lecture 371 Cleaning the data

Lecture 372 Building the model

Lecture 373 Implementing Django web application

Lecture 374 Deploying to Heroku

Lecture 375 Download The Project Files

Section 52: Project-51: Black Friday Sale Project

Lecture 376 Importing libraries and data

Lecture 377 Understanding data

Lecture 378 Data visulaization and data preprocessing

Lecture 379 Model building part1

Lecture 380 Model building part2

Lecture 381 Download The Project Files

Section 53: Project-52: Sentiment Analysis Project

Lecture 382 Importing libraries and data

Lecture 383 Text normalization

Lecture 384 Lemmatization

Lecture 385 Data preprocessing

Lecture 386 Model Building

Lecture 387 Download The Project Files

Section 54: Project-53: Parkinson’s Disease Prediction Project

Lecture 388 Importing libraries and data

Lecture 389 Understanding the data

Lecture 390 data visualization

Lecture 391 Model building part 1

Lecture 392 Model building part 2

Lecture 393 Download The Project Files

Section 55: Project-54: Fake News Classifier Project

Lecture 394 Importing libraries and data

Lecture 395 data preprocessing

Lecture 396 Text cleaning

Lecture 397 Vectorizer

Lecture 398 Model Building

Lecture 399 Download The Project Files

Section 56: Project-55: Toxic Comment Classifier Project

Lecture 400 Importing libraries and data

Lecture 401 Understanding data

Lecture 402 data visualization and preprocessing

Lecture 403 Balancing the target column

Lecture 404 Model building

Lecture 405 Model evaluation

Lecture 406 Download The Project Files

Section 57: Project-56: IMDB Movie Ratings Prediction

Lecture 407 Importing libraries and data

Lecture 408 Understanding data

Lecture 409 data visualization

Lecture 410 data preprocessing

Lecture 411 Model building

Lecture 412 Download The Project Files

Section 58: Project-57: Indian Air Quality Prediction

Lecture 413 Importing libraries & data

Lecture 414 Understanding data

Lecture 415 data visualization

Lecture 416 data preprocessing

Lecture 417 Feature Engineering

Lecture 418 Model building part1

Lecture 419 Model building part2

Lecture 420 Download The Project Files

Section 59: Project-58: Covid-19 Case Analysis

Lecture 421 Importing libraries and data

Lecture 422 data preprocessing

Lecture 423 Data Analysis part1

Lecture 424 Data Analysis part2

Lecture 425 Download The Project Files

Section 60: Project-59: Customer Churning Prediction

Lecture 426 Importing libraries and data

Lecture 427 Understanding data

Lecture 428 data visualization

Lecture 429 Model building

Lecture 430 Hyper tuning

Lecture 431 Download The Project Files

Section 61: Project-60: Create A ChatBot

Lecture 432 Importing libraries and data

Lecture 433 Understanding data

Lecture 434 data visualization

Lecture 435 text normalization

Lecture 436 Creating a chatbot application

Lecture 437 Download The Project Files

Section 62: Project-61: Video Game sales Analysis

Lecture 438 Intro To Video Games sales

Lecture 439 colab part 1

Lecture 440 colab part 2

Lecture 441 Django App

Lecture 442 Heroku App Deployment

Lecture 443 Download The Project Files

Section 63: Project-62: Zomato Restaurant Analysis

Lecture 444 Zomato Restaurant Analysis

Lecture 445 Download The Project Files

Section 64: Project-63: Walmart Sales Forecasting

Lecture 446 Walmart Sales Forecasting

Lecture 447 Download The Project Files

Section 65: Project-64: Sonic wave velocity prediction using Signal Processing Techniques

Lecture 448 Introduction to the project

Lecture 449 Importing Libraries and DataSet

Lecture 450 Data Analysis and Preparation

Lecture 451 Building ML Model

Lecture 452 Evaluating ML Model

Lecture 453 Performing Wavelet Transformation

Lecture 454 Building and Evaluation of model with transformed data

Lecture 455 Download The Project Files

Section 66: Project-65: Estimation of Pore Pressure using Machine Learning

Lecture 456 Introduction to the project

Lecture 457 Importing Libraries and Dataset

Lecture 458 Data Analysis

Lecture 459 Data Preprocessing

Lecture 460 Building ML Models

Lecture 461 Hyper tuning the models and results

Lecture 462 Download The Project Files

Section 67: Project-66: Audio processing using ML

Lecture 463 Introduction to the Project

Lecture 464 Importing and reading Audio file

Lecture 465 Extracting Time-Domain features-1

Lecture 466 Extracting Time-Domain features-2

Lecture 467 Fourier Transform and it_s applications-1

Lecture 468 Fourier Transform and Frequency Domain features

Lecture 469 Download The Project Files

Section 68: Project-67 : Text characterisation using Speech recognition

Lecture 470 Introduction to the Project

Lecture 471 Importing Libraries and Audio Files

Lecture 472 Performing Speech Recognition

Lecture 473 Performing Text Analysis

Lecture 474 Download The Project Files

Section 69: Project-68 : Audio classification using Neural networks

Lecture 475 Introduction to the project

Lecture 476 Importing Libraries and Audio Files

Lecture 477 Extracting audio features 1

Lecture 478 Extracting audio features 2

Lecture 479 Model Development 1

Lecture 480 Model Development 2

Lecture 481 Download The Project Files

Section 70: Project-69 : Developing a voice assistant

Lecture 482 Introduction to the project

Lecture 483 Importing Libraries

Lecture 484 Writing Greet function

Lecture 485 Writing Command function

Lecture 486 Assigning tasks to the AI

Lecture 487 Download The Project Files

Section 71: Project-70 : Customer segmentation

Lecture 488 Introduction to the Project

Lecture 489 Importing Libraries and Dataset

Lecture 490 Data Analysis

Lecture 491 Data Preprocessing

Lecture 492 Performing Clustering

Lecture 493 Download The Project Files

Section 72: Project-71 : FIFA 2019 Analysis

Lecture 494 Introduction to the project

Lecture 495 Importing Libraries and Dataset

Lecture 496 Analyzing Age Parameter-1

Lecture 497 Analyzing Age Parameter-2

Lecture 498 Analyzing Top Players

Lecture 499 Finding Top skills and Building own team

Lecture 500 Download The Project Files

Section 73: Project-72 : Sentiment analysis of web scrapped data

Lecture 501 Introduction to the Project

Lecture 502 Importing Libraries and Dataset

Lecture 503 Performing Web Scraping

Lecture 504 Data Preprocessing

Lecture 505 Performing Sentiment Analysis

Lecture 506 Download The Project Files

Section 74: Project-73 : Determining Red Vine Quality

Lecture 507 Introduction to the Project

Lecture 508 Importing Libraries

Lecture 509 Data Analysis

Lecture 510 Predicting quality using Labels

Lecture 511 Classifying Good or Bad Wine

Lecture 512 Download The Project Files

Section 75: Project-74 : Customer Personality Analysis

Lecture 513 Introduction to the Project

Lecture 514 Importing Libraries

Lecture 515 Data Analysis

Lecture 516 Data Cleaning and Feature Engineering

Lecture 517 Performing Clustering using K Means Clustering

Lecture 518 Using Supervised Learning Algorithms

Lecture 519 Download The Project Files

Section 76: Project-75 : Literacy Analysis in India

Lecture 520 Introduction to the Project

Lecture 521 Importing Libraries and Dataset

Lecture 522 Population Analysis in India

Lecture 523 Schools in India

Lecture 524 Literacy rate Analysis in India

Lecture 525 Finding out the best state in terms of Literacy

Lecture 526 Download The Project Files

Section 77: Project-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)

Lecture 527 Introduction to the Project

Lecture 528 Importing Libraries and Datasets

Lecture 529 Data Analysis

Lecture 530 Model Building Part 1

Lecture 531 Model Building Part 2

Lecture 532 Model building and Predictions using Auto ML(Eval ML)

Lecture 533 Download The Project Files

Section 78: Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)

Lecture 534 Introduction to the Project

Lecture 535 Importing Libraries and DataSet

Lecture 536 Data Analysis

Lecture 537 Model Building using ML

Lecture 538 Model Building and Prediction using PyCaret(AutoML)

Lecture 539 Download The Project Files

Section 79: Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)

Lecture 540 Introduction to the Project

Lecture 541 Importing Libraries and DataSet

Lecture 542 Data Analysis

Lecture 543 Feature Engineering 1

Lecture 544 Feature Engineering 2

Lecture 545 Feature Selection

Lecture 546 Model Building using ML

Lecture 547 Model Building and Prediction using Auto SK Learn

Lecture 548 Download The Project Files

Section 80: Project-79: Petrol Price Forecasting Using Auto Keras

Lecture 549 Introduction to the Project

Lecture 550 Importing Libraries and Data Set

Lecture 551 Data Analysis and splitting of Data

Lecture 552 Data Preprocessing

Lecture 553 Model Building and Prediction using LSTM model

Lecture 554 Model Building and prediction using ARIMA and Auto Keras

Lecture 555 Download The Project Files

Section 81: Project-80: Bank Customer Churn Prediction Using H2O Auto ML

Lecture 556 Introduction to the Project

Lecture 557 Importing Libraries and Data Set

Lecture 558 Data Analysis

Lecture 559 Feature Engineering

Lecture 560 Model Building and Prediction using ANN

Lecture 561 Model Building and Prediction using H2O Auto ML(Auto ML)

Lecture 562 Download The Project Files

Section 82: Project-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (A

Lecture 563 Introduction to the Project

Lecture 564 Importing Libraries and Data sets

Lecture 565 Data Analysis

Lecture 566 Feature Engineering

Lecture 567 Model Building using ML- 1

Lecture 568 Model Building using ML- 2

Lecture 569 Model Building and Predictions using TPOT Library( Auto ML).

Lecture 570 Deployment of Model using Flask API

Lecture 571 Download The Project Files

Section 83: Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

Lecture 572 Introduction to the Project

Lecture 573 Importing Libraries and DataSet

Lecture 574 Data Analysis and Handling Missing Values- 1

Lecture 575 Data Analysis and Handling Missing Values- 2

Lecture 576 Feature Engineering

Lecture 577 Model Building using ML Algorithms

Lecture 578 Model Building and Prediction using PyCaret(AutoML)

Lecture 579 Using FLASK API

Lecture 580 Deploying model using Heroku

Lecture 581 Download The Project Files

Section 84: Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)

Lecture 582 Introduction to the project

Lecture 583 Importing Libraries and DataSet

Lecture 584 Data Analysis

Lecture 585 Feature Engineering

Lecture 586 Model Building using ML models

Lecture 587 Model Building and Prediction using EVAL ML(Auto ML)

Lecture 588 Download The Project Files

Section 85: Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)

Lecture 589 Introduction to the Project

Lecture 590 Importing Libraries and DataSet

Lecture 591 Data Analysis and Cleaning

Lecture 592 Data Preprocessing

Lecture 593 Model Building using ML Algorithms

Lecture 594 Model Building using TPOT Auto ML Library-1

Lecture 595 Model Building using TPOT Auto ML Library-2

Lecture 596 Download The Project Files

Section 86: Project-85: Predicting Bike Rentals Count Using ML And H2O Auto ML

Lecture 597 Introduction to the Project

Lecture 598 Importing libraries and DataSet

Lecture 599 Data Analysis and Cleaning -1

Lecture 600 Data Analysis and Cleaning -2

Lecture 601 Data Preprocessing

Lecture 602 Data Preprocessing

Lecture 603 Model Building and Prediction using ML

Lecture 604 Model Building and Prediction using H2O Auto ML Library

Lecture 605 Download The Project Files

Section 87: Project-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

Lecture 606 Introduction to the Project

Lecture 607 Importing Libraries and Data Set

Lecture 608 Data Analysis

Lecture 609 Feature Engineering

Lecture 610 Model Building and Prediction using Deep Learning

Lecture 611 Model Building and Prediction using Auto Keras (Auto ML)

Lecture 612 Download The Project Files

Section 88: Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

Lecture 613 Introduction to the Project

Lecture 614 Importing Libraries and DataSet

Lecture 615 Data Analysis and Feature Engineering

Lecture 616 Data Preprocessing 1

Lecture 617 Data Preprocessing 2

Lecture 618 Model Building and Prediction using ML

Lecture 619 Model Building and Prediction using Auto SK Learn

Lecture 620 Download The Project Files

Section 89: Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)

Lecture 621 Introduction to the Project

Lecture 622 Importing Libraries and DataSet

Lecture 623 Data Analysis and Preprocessing 1

Lecture 624 Data Analysis and Preprocessing 2

Lecture 625 Model Building using ML

Lecture 626 Model Building using Auto ML(PyCaret)

Lecture 627 Download The Project Files

Section 90: Project-89: Employee Evaluation For Promotion Using ML And Eval Auto ML

Lecture 628 Introduction to the Project

Lecture 629 Importing Libraries and DataSet

Lecture 630 Data Analysis and Preprocessing 1

Lecture 631 Data Analysis and Preprocessing 2

Lecture 632 Model Building using ML

Lecture 633 Model Building and Prediction using Eval Auto ML

Lecture 634 Download The Project Files

Section 91: Project-90: Drinking Water Potability Prediction Using ML And H2O Auto ML

Lecture 635 Introduction to the Project

Lecture 636 Importing Libraries and DataSet

Lecture 637 Data Analysis

Lecture 638 Feature Engineering

Lecture 639 Model Building using ML

Lecture 640 Model Building and Prediction using H2O Auto ML

Lecture 641 Download The Project Files

Section 92: Python Projects Starts From Here

Lecture 642 Python Projects Starts From Here

Section 93: Project-91: Image Editor Application With OpenCV And Tkinter

Lecture 643 Introduction

Lecture 644 Tkinter

Lecture 645 Tkinter2

Lecture 646 cvbasics

Lecture 647 Implementing Frames

Lecture 648 Implementing Frames

Lecture 649 Implementing Canvas

Lecture 650 Sub Menu projects course

Lecture 651 Finishing Front End

Lecture 652 Image on canvas

Lecture 653 Applying Filters

Lecture 654 Cropping

Lecture 655 Saving Images

Lecture 656 Download The Project Files

Section 94: Project-92: Brand Identification Game With Tkinter And Sqlite3

Lecture 657 Introduction

Lecture 658 tkinter basics

Lecture 659 sqlite basics

Lecture 660 developing frontend

Lecture 661 implementing logic

Lecture 662 creating database

Lecture 663 integrating database

Lecture 664 Download The Project Files

Section 95: Project-93: Transaction Application With Tkinter And Sqlite3

Lecture 665 Introduction

Lecture 666 tkinte basics

Lecture 667 sqlite basics

Lecture 668 front end

Lecture 669 authentication

Lecture 670 managing-transaction

Lecture 671 managing profile picture

Lecture 672 Download The Project Files

Section 96: Project-94: Learning Management System With Django

Lecture 673 Introduction

Lecture 674 setting

Lecture 675 building models

Lecture 676 building models

Lecture 677 admin and querying

Lecture 678 registration and login

Lecture 679 implementing profile

Lecture 680 implementing profile

Lecture 681 results with matplotlib

Lecture 682 Interactive graph

Lecture 683 answering assignments

Lecture 684 staff assignment

Lecture 685 Download The Project Files

Section 97: Project-95: Create A News Portal With Django

Lecture 686 Introduction

Lecture 687 setting up

Lecture 688 implementing models

Lecture 689 login and registration

Lecture 690 profiles

Lecture 691 news home

Lecture 692 filtering news

Lecture 693 efficient code

Lecture 694 adding news

Lecture 695 Download The Project Files

Section 98: Project-96: Create A Student Portal With Django

Lecture 696 Introduction

Lecture 697 setting up

Lecture 698 homepage and api requests

Lecture 699 login and registration

Lecture 700 handling notes

Lecture 701 todos and homeworks

Lecture 702 conversion page

Lecture 703 Download The Project Files

Section 99: Project-97: Productivity Tracker With Django And Plotly

Lecture 704 Introduction

Lecture 705 setting up

Lecture 706 login and registration

Lecture 707 todo implementation

Lecture 708 profile implementation

Lecture 709 Download The Project Files

Section 100: Project-98: Create A Study Group With Django

Lecture 710 Introduction

Lecture 711 setting up

Lecture 712 login and registration

Lecture 713 ER diagram

Lecture 714 groups implementation

Lecture 715 filtering

Lecture 716 Download The Project Files

Section 101: Project-99: Building Crop Guide Application with PyQt5, SQLite

Lecture 717 Introduction to Project on Crop Guide

Lecture 718 Designing The Python GUI using Qt Designer

Lecture 719 Enhancing the Qt5 GUI Functionality

Lecture 720 Creation and Implementation of Database

Lecture 721 Connecting Database with PyQt5 Application

Lecture 722 Enhancing the Qt5 GUI Functionality and Application Logic

Lecture 723 Project Conclusion and Recall

Lecture 724 Download The Project Files

Section 102: Project-100: Building Password Manager Application With PyQt5, SQLite

Lecture 725 Introduction to Project on Password Manager

Lecture 726 Designing The Python GUI using Qt Designer

Lecture 727 Enhancing the Qt5 GUI Functionality

Lecture 728 Creation and Implementation of Database

Lecture 729 Enhancing the Qt5 GUI Functionality and Application Logic Part 1

Lecture 730 Enhancing the Qt5 GUI Functionality and Application Logic Part 2

Lecture 731 Project Conclusion and Overview

Lecture 732 Download The Project Files

Section 103: Project-101: Create A News Application With Python

Lecture 733 Introduction to Project on News App

Lecture 734 Django Starting and Setup

Lecture 735 Demonstration of Django MVT Architecture and Rendering

Lecture 736 Coding the Application Logic

Lecture 737 Updating the Application Logic for templates and views

Lecture 738 Recall and Project Deployment Part-1

Lecture 739 Project Deployment Part-2

Lecture 740 Download The Project Files

Section 104: Project-102: Create A Guide Application With Python

Lecture 741 Introduction To The Project On Guide

Lecture 742 Getting Started With Django

Lecture 743 Application Logic

Lecture 744 Updating Templates and Views

Lecture 745 Deploying Application

Lecture 746 Download The Project Files

Section 105: Project-103: Building The Chef Web Application with Django, Python

Lecture 747 Introduction to Project on The Chef

Lecture 748 Get Started with Django

Lecture 749 Application Logic Part-1

Lecture 750 Application Logic Part-2

Lecture 751 Application Logic Part-3

Lecture 752 Templates

Lecture 753 Updating Views

Lecture 754 Deployment Of The Application

Lecture 755 Download The Project Files

Section 106: Project-104: Syllogism-Rules of Inference Solver Web Application

Lecture 756 Introduction to The Syllogism Rules of Inference Solver

Lecture 757 Get Started with Django

Lecture 758 Application Logic Part-1

Lecture 759 Application Logic Part-2

Lecture 760 Updating Views and Templates

Lecture 761 Deployment of Application

Lecture 762 Download The Project Files

Section 107: Project-105: Building Vision Web Application with Django, Python

Lecture 763 Introduction

Lecture 764 Getting Started With Django and MVT Architecture

Lecture 765 Rendering Sample Text and Images Part-1

Lecture 766 Rendering Sample Text and Images Part-2

Lecture 767 Application Logic Part-1

Lecture 768 Application Logic Part-2

Lecture 769 Updating Templates and Views

Lecture 770 Download The Project Files

Section 108: Project-106: Building Budget Planner Application With Python

Lecture 771 Introduction

Lecture 772 Download The Project Files

Section 109: Project-107: Build Tic Tac Toe Game

Lecture 773 Build Tic Tac Toe Game

Lecture 774 Download The Project Files

Section 110: Project-108: Random Password Generator Website using Django

Lecture 775 Random Password Generator Website using Django

Lecture 776 Download The Project Files

Section 111: Project-109: Building Personal Portfolio Website Using Django

Lecture 777 Building Personal Portfolio Website Using Django

Lecture 778 Download The Project Files

Section 112: Project-110: Todo List Website For Multiple Users

Lecture 779 Todo List Website For Multiple Users

Lecture 780 Download The Project Files

Section 113: Project-111: Crypto Coin Planner GUI Application

Lecture 781 Crypto Coin Planner GUI Application

Lecture 782 Download The Project Files

Section 114: Project-112: Your Own Twitter Bot -python, request, API, deployment, tweepy

Lecture 783 Your Own Twitter Bot -python, request, API, deployment, tweepy

Lecture 784 Download The Project Files

Section 115: Project-113: Create A Python Dictionary Using python, Tkinter, JSON

Lecture 785 Create A Python Dictionary Using python, Tkinter, JSON

Lecture 786 Download The Project Files

Section 116: Project-114: Egg-Catcher Game using python

Lecture 787 Egg-Catcher Game using python

Lecture 788 Download The Project Files

Section 117: Project-115: Personal Routine Tracker Application using python

Lecture 789 Personal Routine Tracker Application using python

Lecture 790 Download The Project Files

Section 118: Project-116: Building Screen -Pet using Tkinter & Canvas

Lecture 791 Building Screen -Pet using Tkinter & Canvas

Lecture 792 Download The Project Files

Section 119: Project-117: Building Caterpillar Game Using Turtle and Python

Lecture 793 Building Caterpillar Game Using Turtle and Python

Lecture 794 Download The Project Files

Section 120: Project-118: Building Hangman Game Using Python

Lecture 795 Building Hangman Game Using Python

Lecture 796 Download The Project Files

Section 121: Project-119: Developing our own Smart Calculator Using Python and Tkinter

Lecture 797 Developing our own Smart Calculator Using Python and Tkinter

Lecture 798 Download The Project Files

Section 122: Project-120: Image-based steganography Using Python and pillows

Lecture 799 Image-based steganography Using Python and pillows

Lecture 800 Download The Project Files

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