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Data Science Bundle: 180 Hands-On Projects - Course 3 Of 3

Posted By: ELK1nG
Data Science Bundle: 180 Hands-On Projects - Course 3 Of 3

Data Science Bundle: 180 Hands-On Projects - Course 3 Of 3
Last updated 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 22.09 GB | Duration: 51h 55m

Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud)

What you'll learn

Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.

Apply Machine Learning to real-world scenarios, making you job-ready.

Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set.

Master the essentials of Machine Learning using Python, the go-to language for Data Science.

Learn to build robust Machine Learning models that can withstand real-world uncertainties.

Acquire techniques to fine-tune and improve your Machine Learning models for better performance.

Develop a strong intuition for choosing the right Machine Learning models for different tasks.

Empower yourself to conduct powerful data analyses that can drive decision-making processes.

Requirements

Basic knowledge of machine learning

Description

Enroll in this course for an immersive learning experience with compelling benefits. You'll gain hands-on experience in practical machine learning and data-driven projects. Develop proficiency in Python, Flask, Django, and cloud deployment on platforms like Heroku, AWS, Azure, GCP, and Streamlit.This course guides you through the entire project lifecycle, from ideation to deployment, with a focus on real-world applications. It bridges the gap between data analytics and business strategy, making it suitable for both newcomers and seasoned practitioners. With 60 diverse projects, you can build a robust portfolio at your own pace.Don't miss this opportunity to advance your data science career and make a real impact in today's data-rich world. Enroll now before the offer expires and transform your future.In This Course, We Are Going To Work On 60 Real World Projects Listed Below:Data Science Projects:Project-1: CarPricer: Fueling Car Prices - Build Car Prices Prediction App on HerokuProject-2: LoveCounter: Counting Affairs - Build Affair Count Django App on HerokuProject-3: ShroomSense: Unveiling Fungal Delights - Build Shrooming Predictions App on HerokuProject-4: PlayRater: Play Store Insights - Google Play App Rating Prediction on HerokuProject-5: BankGuru: Banking on Customer Predictions - Build Bank Customers Predictions Django App on HerokuProject-6: ArtSculptor: Sculpting Artistic Insights - Build Artist Sculpture Cost Prediction Django App on HerokuProject-7: MediCost: Healing Insights - Build Medical Cost Predictions Django App on HerokuProject-8: PhishGuard: Safeguarding the Web - Phishing Webpages Classification Django App on HerokuProject-9: FashionFit: Fit for Style - Clothing Fit-Size Predictions Django App on HerokuProject-10: TextSim: Unveiling Textual Connections - Build Similarity In-Text Django App on HerokuProject-11: ForgeryFinder: Unmasking Pan Card Tampering with AI - Deploy On HerokuProject-12: BreedRover: Fetching Dog Breeds with a Flask TwistProject-13: AquaMark: Immortalizing Images with Watermark Wizardry - Deploy On HerokuProject-14: SignSense: Navigating the Road with Traffic Sign DetectionProject-15: TextXtract: Unlocking Secrets Hidden in ImagesProject-16: PlantWhisperer: Decoding Nature's Language for Plant Disease PredictionProject-17: AutoTrack: Counting Cars and Unleashing Traffic Insights with FlaskProject-18: FaceSwap Pro: Transform Faces and Dive into a World of FunProject-19: FeatheredForecast: Predicting Bird Species with Flask FeathersProject-20: VisualIntel: Exploring Visual Intelligence with Intel Image ClassificationProject-21: HeartBeatHero: Defending Hearts with Eval ML - Heart Attack Risk PredictionProject-22: FraudGuardian: Shielding Finances with Pycaret - Credit Card Fraud DetectionProject-23: SkyHighForecaster: Soaring through Fare Predictions - Flight Fare PredictionProject-24: FuelProphet: Fueling Future Insights - Petrol Price ForecastingProject-25: ChurnSavior: Safeguarding Customer Loyalty - Bank Customer Churn PredictionProject-26: AirQInsight: Breathing Easy with TPOT - Air Quality Index PredictorProject-27: RainMaster: Unveiling Precipitation Patterns - Rain Prediction using ML models & PyCaretProject-28: PizzaCraver: Predicting Pizza Prices - Pizza Price Prediction using ML and EVALMLProject-29: IPLOracle: Unlocking Cricket Magic - IPL Cricket Score Prediction using TPOTProject-30: BikeRider: Pedaling through Rentals - Predicting Bike Rentals Count using ML and H2O Auto MLProject-31: ConcreteWizard: Building Strong Foundations - Concrete Compressive Strength Prediction using Auto KerasProject-32: HomePriceWhiz: Navigating the Housing Market - Bangalore House Price Prediction using Auto SK LearnProject-33: LifeSaver: Predicting Hospital Outcomes - Hospital Mortality Prediction using PyCaretProject-34: CareerPro: Elevating Professional Paths - Employee Evaluation for Promotion using ML and Eval Auto MLProject-35: HydraH2O: Quenching the Thirst for Drinking Water Potability - Drinking Water Potability Prediction using ML and H2O Auto MLProject-36: GameQuest: Unlocking the World of Video Game Sales AnalysisProject-37: TicTacToEvolved: A Strategic Battle of Wits - Build Tic Tac Toe GameProject-38: PassGenie: Creating Secure Passwords - Random Password Generator Website using DjangoProject-39: PortfolioPro: Showcasing Your Skills - Building Personal Portfolio Website using DjangoProject-40: TodoTracker: Organizing Tasks Together - Todo List Website For Multiple UsersProject-41: CryptoPlanner: Riding the Waves of Crypto - Crypto Coin Planner GUI ApplicationProject-42: TweetBot: Your Personal Twitter Companion - Your Own Twitter Bot - Python, Request, API, Deployment, TweepyProject-43: DictBuilder: Crafting a Personal Dictionary - Create A Python Dictionary using Python, Tkinter, JSONProject-44: EggCatcher: A Fun Game of Precision - Egg-Catcher Game using PythonProject-45: RoutineTracker: Keeping Your Day on Track - Personal Routine Tracker Application using PythonProject-46: ScreenPet: Unleashing the Pet on Your Screen - Building Screen-Pet using Tkinter & CanvasProject-47: CaterpillarGame: A Journey of Transformation - Building Caterpillar Game using Turtle and PythonProject-48: HangmanMaster: Cracking the Word Code - Building Hangman Game using PythonProject-49: SmartCalc: Math Made Easy - Developing our own Smart Calculator using Python and TkinterProject-50: SecretSteganography: Hiding Messages in Images - Image-based steganography using Python and pillowsPower BI Projects:Project-51: Patient Summary Dashboard: Medical RecordsProject-52: Global Super Store Sales Data AnalysisProject-53: Boston Housing Dataset Dashboard: Real EstateProject-54: Crime in Los Angeles: Yearly City AnalysisProject-55: IMDB Movie Dataset Dashboard: Movie ComparisonProject-56: Hotel Reservation Dashboard: Global Hotel BusinessProject-57: Toy Sales Data Analysis: Practice DatasetProject-58: Netflix Stock Price Dashboard: Business AnalysisProject-59: Personal Finance Management Dashboard: Financial InsightsProject-60: A Deep Dive into Bank Customer Churn with Power BITips: Create A 60 Days Study Plan , Spend 1-2hrs Per Day, Build 60 Projects In 60 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote: This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Overview

Section 1: Introduction to the course

Lecture 1 Introduction to the course

Section 2: Project-1: CarPricer: Fueling Car Prices - Build Car Prices Prediction App

Lecture 2 Introduction

Lecture 3 Machine Learning model building part1

Lecture 4 Machine Learning model building part2

Lecture 5 Machine Learning model building part3

Lecture 6 Creating Django Application part1

Lecture 7 Creating Django Application part2

Lecture 8 Deploying on Heroku

Lecture 9 Download the project files

Section 3: Project-2: LoveCounter: Counting Affairs - Build Affair Count Django App

Lecture 10 Introduction

Lecture 11 Intoductory Machine Learning model building

Lecture 12 Feature Building and Selection

Lecture 13 Model Building

Lecture 14 Django Application Introduction

Lecture 15 Django Application building

Lecture 16 Deploying on Heroku

Lecture 17 Download the project files

Section 4: Project-3: ShroomSense: Unveiling Fungal Delights - Build Shrooming Predictions

Lecture 18 Introduction

Lecture 19 Importing libraries and Understanding data

Lecture 20 Building the model

Lecture 21 Building Django Application

Lecture 22 Delpoying on Heroku

Lecture 23 Download the project files

Section 5: Project-4: PlayRater: Play Store Insights - Google Play App Rating Prediction

Lecture 24 Introduction

Lecture 25 Introduction to libraries and dataset

Lecture 26 Preprocessing the data

Lecture 27 building the model

Lecture 28 Django Application

Lecture 29 Deploying to Heroku

Lecture 30 Download the project files

Section 6: Project-5: BankGuru: Banking on Customer Predictions

Lecture 31 Introduction

Lecture 32 Importing Libraries and understanding data

Lecture 33 Building and training the model

Lecture 34 Django Apllication

Lecture 35 Deploying on heroku

Lecture 36 Download the project files

Section 7: Project-6: ArtSculptor: Build Artist Sculpture Cost Prediction Django App

Lecture 37 Introduction

Lecture 38 Understanding the data

Lecture 39 Outliers and Model

Lecture 40 Building Django Application

Lecture 41 Deploying to Heroku

Lecture 42 Download the project files

Section 8: Project-7: MediCost: Healing Insights - Build Medical Cost Predictions Django

Lecture 43 Introduction

Lecture 44 Introduction and handling the data

Lecture 45 Building the model

Lecture 46 Django Application

Lecture 47 Heroku Deployment

Lecture 48 Download the project files

Section 9: Project-8: PhishGuard: Safeguarding the Web - Phishing Webpages Classification

Lecture 49 Introduction

Lecture 50 Understanding the data

Lecture 51 Feature Selection and model building

Lecture 52 Django Application

Lecture 53 Deploying on Heroku

Lecture 54 Download the project files

Section 10: Project-9: FashionFit: Fit for Style - Clothing Fit-Size Predictions Django App

Lecture 55 Introduction

Lecture 56 Understanding the data

Lecture 57 Cleaning the data

Lecture 58 Building the model

Lecture 59 Implementing Django Application

Lecture 60 Deploying to heroku

Lecture 61 Download the project files

Section 11: Project-10: TextSim: Unveiling Textual Connections - Build Similarity In-Text

Lecture 62 Introduction

Lecture 63 Cleaning the data

Lecture 64 Building the model

Lecture 65 Implementing Django web application

Lecture 66 Deploying to Heroku

Lecture 67 Download the project files

Section 12: Project-11: ForgeryFinder: Unmasking Pan Card Tampering with AI - Deploy

Lecture 68 Introduction To Pan Card Tempering Detector

Lecture 69 Loading libraries and dataset

Lecture 70 Creating the pancard detector with opencv

Lecture 71 Creating the Flask App

Lecture 72 Creating Important functions

Lecture 73 Deploy the app in Heruko1

Lecture 74 Testing the deployed pan card detector

Lecture 75 Download code files

Section 13: Project-12: BreedRover: Fetching Dog Breeds with a Flask Twist

Lecture 76 Introduction to dog breed prediction

Lecture 77 Importing the data and libraries

Lecture 78 Data Preprocessing

Lecture 79 Build and Train Model

Lecture 80 Testing the model

Lecture 81 Creating the flask App

Lecture 82 Running the app in system

Lecture 83 Download the project files

Section 14: Project-13: AquaMark: Immortalizing Images with Watermark Wizardry - Deploy

Lecture 84 Introduction Image Watermarking

Lecture 85 Importing libraries and logo

Lecture 86 Create text and image watermark

Lecture 87 Creating the app

Lecture 88 Deploying the app in heruko

Lecture 89 Download the project files

Section 15: Project-14: SignSense: Navigating the Road with Traffic Sign Detection

Lecture 90 Introduction to traffic sign classification

Lecture 91 importing the data and libraries

Lecture 92 Image processing

Lecture 93 creating and testing the model

Lecture 94 Creating model for test set

Lecture 95 Download the project files

Section 16: Project-15: TextXtract: Unlocking Secrets Hidden in Images

Lecture 96 Introduction to text extraction

Lecture 97 Importing libraries and datav

Lecture 98 Extracting the test from image

Lecture 99 Modifiying the extractor

Lecture 100 creating the extractor app

Lecture 101 running the extractor app

Lecture 102 Download the project files

Section 17: Project-16: PlantWhisperer: Decoding Nature's Language for Plant Disease Predict

Lecture 103 Introduction

Lecture 104 Importing libraries and data

Lecture 105 Understanding the data and data preprocessing

Lecture 106 Model building

Lecture 107 Creating an app using streamlit

Lecture 108 Download the project files

Section 18: Project-17: AutoTrack: Counting Cars and Unleashing Traffic Insights with Flask

Lecture 109 Intro Vehicle Detection

Lecture 110 Importing libraries and data Vehicle Detection

Lecture 111 333

Lecture 112 Creating a flask APP Vehicle Detection

Lecture 113 Download the project files

Section 19: Project-18: FaceSwap Pro: Transform Faces and Dive into a World of Fun

Lecture 114 Intro to Face Swap

Lecture 115 Importing libraries and data FACE SWAPv

Lecture 116 Data preprocessing and creating output FACE SWAP

Lecture 117 Creating A Flask APP FACE SWAP

Lecture 118 Download the project files

Section 20: Project-19: FeatheredForecast: Predicting Bird Species with Flask Feathers

Lecture 119 Introduction to Bird Species Predictionv

Lecture 120 Improting Libraries And Data- Bird Species Prediction

Lecture 121 Dataprocessing Bird Species Prediction

Lecture 122 Creating ML Model Bird Species Prediction11

Lecture 123 Creating A Flask APP -Bird Species Prediction

Lecture 124 Download the project files

Section 21: Project-20: VisualIntel: Exploring Visual Intelligence with Intel Image Classifi

Lecture 125 Introduction to Intel Image Classification

Lecture 126 Importing and processing data -Intel Image Classification

Lecture 127 Creating a Model -Intel Image Classification

Lecture 128 Creating a Flask App

Lecture 129 Download the project files

Section 22: Project-21: Defending Hearts with Eval ML - Heart Attack Risk Prediction

Lecture 130 Introduction to the Project

Lecture 131 Importing Libraries and Datasets

Lecture 132 Data Analysis

Lecture 133 Model Building Part 1

Lecture 134 Model Building Part 2

Lecture 135 Model building and Predictions using Auto ML

Lecture 136 Download the project files

Section 23: Project-22: FraudGuardian: Credit Card Fraud Detection

Lecture 137 Introduction to the Project

Lecture 138 Importing Libraries and DataSet

Lecture 139 Data Analysis

Lecture 140 Model Building using ML

Lecture 141 Model Building and Prediction using PyCare

Lecture 142 Download the project files

Section 24: Project-23: SkyHighForecaster: Soaring through Fare Predictions

Lecture 143 Introduction to the Project

Lecture 144 Importing Libraries and DataSet

Lecture 145 Data Analysis

Lecture 146 Feature Engineering 1

Lecture 147 Feature Engineering 2

Lecture 148 Feature Selection

Lecture 149 Model Building using ML

Lecture 150 Model Building and Prediction using Auto SK Learn

Lecture 151 Download the project files

Section 25: Project-24: FuelProphet: Fueling Future Insights - Petrol Price Forecasting

Lecture 152 Introduction to the Project

Lecture 153 Importing Libraries and Data Set

Lecture 154 Data Analysis and splitting of Dat

Lecture 155 Data Preprocessing

Lecture 156 Model Building and Prediction using LSTM model

Lecture 157 Model Building and prediction using ARIMA and Auto Keras

Lecture 158 Download the project files

Section 26: Project-25: ChurnSavior: Safeguarding Customer Loyalty - Bank Customer Churn

Lecture 159 Introduction to the Project

Lecture 160 Importing Libraries and Data Set

Lecture 161 Data Analysis

Lecture 162 Feature Engineering

Lecture 163 Model Building and Prediction using ANN

Lecture 164 Model Building and Prediction using H2O Auto ML

Lecture 165 Download the project files

Section 27: Project-26: AirQInsight: Breathing Easy with TPOT - Air Quality Index Predictor

Lecture 166 Introduction to the Project

Lecture 167 Importing Libraries and Data sets

Lecture 168 Data Analysis

Lecture 169 Feature Engineering

Lecture 170 Model Building using ML- 1

Lecture 171 Model Building using ML- 2

Lecture 172 Model Building and Predictions using TPOT Library

Lecture 173 Deployment of Model using Flask API

Lecture 174 Download the project files

Section 28: Project-27: RainMaster: Unveiling Precipitation Patterns - Rain Prediction

Lecture 175 Introduction to the Project

Lecture 176 Importing Libraries and DataSet

Lecture 177 Data Analysis and Handling Missing Values- 1

Lecture 178 Data Analysis and Handling Missing Values- 2

Lecture 179 Feature Engineering

Lecture 180 Model Building using ML Algorithm

Lecture 181 Model Building and Prediction using PyCaret

Lecture 182 Using FLASK API

Lecture 183 Deploying model using Heroku

Lecture 184 Download the project files

Section 29: Project-28: PizzaCraver: Predicting Pizza Prices - Pizza Price Prediction

Lecture 185 Introduction to the project

Lecture 186 Importing Libraries and DataSet

Lecture 187 Data Analysis

Lecture 188 Feature Engineering

Lecture 189 Model Building using ML models

Lecture 190 Model Building and Prediction using EVAL ML

Lecture 191 Download the project files

Section 30: Project-29: IPLOracle: Unlocking Cricket Magic - IPL Cricket Score Prediction

Lecture 192 Introduction to the Project

Lecture 193 Importing Libraries and DataSet

Lecture 194 Data Analysis and Cleaning

Lecture 195 Data Preprocessing

Lecture 196 Model Building using ML Algorith

Lecture 197 Model Building using TPOT Auto ML Library-1

Lecture 198 Model Building using TPOT Auto ML Library-2

Lecture 199 Download the project files

Section 31: Project-30: BikeRider: Pedaling through Rentals - Predicting Bike Rentals Count

Lecture 200 Introduction to the Project

Lecture 201 Importing libraries and DataSet

Lecture 202 Data Analysis and Cleaning -1

Lecture 203 Data Analysis and Cleaning -2

Lecture 204 Data Preprocessing

Lecture 205 Splitting the Data

Lecture 206 Model Building and Prediction using ML

Lecture 207 Model Building and Prediction using H2O Auto ML Library

Lecture 208 Download the project files

Section 32: Project-31: ConcreteWizard: Building Strong Foundations - Concrete Compressive

Lecture 209 Introduction to the Project

Lecture 210 Importing Libraries and Data Set

Lecture 211 Data Analysis

Lecture 212 Feature Engineering

Lecture 213 Model Building and Prediction using Deep Learning

Lecture 214 Model Building and Prediction using Auto Keras

Lecture 215 Download the project files

Section 33: Project-32: HomePriceWhiz: Navigating the Housing Market - Bangalore House Price

Lecture 216 Introduction to the Project

Lecture 217 Importing Libraries and DataSet

Lecture 218 Data Analysis and Feature Engineering

Lecture 219 Data Preprocessing 1

Lecture 220 Data Preprocessing 2

Lecture 221 Model Building and Prediction using ML

Lecture 222 Model Building and Prediction using Auto SK Learn

Lecture 223 Download the project files

Section 34: Project-33: LifeSaver: Predicting Hospital Outcomes - Hospital Mortality Predict

Lecture 224 Introduction to the Project

Lecture 225 Importing Libraries and DataSet

Lecture 226 Data Analysis and Preprocessing 1

Lecture 227 Data Analysis and Preprocessing 2

Lecture 228 Model Building using ML

Lecture 229 Model Building using Auto ML

Lecture 230 Download the project files

Section 35: Project-34: CareerPro: Elevating Professional Paths - Employee Evaluation

Lecture 231 Introduction to the Project

Lecture 232 Importing Libraries and DataSet

Lecture 233 Data Analysis and Preprocessing 1

Lecture 234 Data Analysis and Preprocessing 2

Lecture 235 Model Building uisng ML

Lecture 236 Model Building and Prediction using Eval Auto ML

Lecture 237 Download the project files

Section 36: Project-35: HydraH2O: Quenching the Thirst for Drinking Water Potability

Lecture 238 Introduction to the Project

Lecture 239 Importing Libraries and DataSet

Lecture 240 Data Analysis

Lecture 241 Feature Engineering

Lecture 242 Model Building using ML

Lecture 243 Model Building and Prediction using H2O Auto ML

Lecture 244 Download the project files

Section 37: Project-36: GameQuest: Unlocking the World of Video Game Sales Analysis

Lecture 245 Intro To Video Games sales

Lecture 246 colab part 1 Video Games

Lecture 247 colab part 2 Video Games

Lecture 248 Django App - Video Games

Lecture 249 Heruko App Deployment - Video Games

Lecture 250 Download the project files

Section 38: Project-37: TicTacToEvolved: A Strategic Battle of Wits - Build Tic Tac Toe Game

Lecture 251 Overview of the Game

Lecture 252 Buiding the Algorithms

Lecture 253 Designing the board

Lecture 254 Game Outcome - Winner

Lecture 255 Final

Lecture 256 Download the project files

Section 39: Project-38: PassGenie: Creating Secure Passwords - Random Password Generator Web

Lecture 257 Introduction to the project

Lecture 258 Startingwithdjango

Lecture 259 Working with Apps and Urls

Lecture 260 Designing website

Lecture 261 Generating password

Lecture 262 Generating password contd

Lecture 263 Bootstrap and Css Designing

Lecture 264 Download the project files

Section 40: Project-39: PortfolioPro: Showcasing Your Skills - Building Personal Portfolio

Lecture 265 Introduction to the project

Lecture 266 Starting project

Lecture 267 Starting project contd

Lecture 268 Working with admin

Lecture 269 Building homepage

Lecture 270 Building blog application

Lecture 271 Building blog application continued

Lecture 272 Working with database and static-Files

Lecture 273 Adding details in blog

Lecture 274 Designing website

Lecture 275 Adding Base templates

Lecture 276 Final project

Lecture 277 Download the project files

Section 41: Project-40: TodoTracker: Organizing Tasks Together - Todo List Website

Lecture 278 Introduction to the project

Lecture 279 Starting project

Lecture 280 Starting application

Lecture 281 Building website

Lecture 282 555

Lecture 283 Adding Login user option

Lecture 284 Creating Todo option

Lecture 285 Create todo option for use

Lecture 286 Displaying todo list

Lecture 287 Updating todo list

Lecture 288 Mark complete and delete todo

Lecture 289 Designing website

Lecture 290 Download the project files

Section 42: Project-41: CryptoPlanner: Riding the Waves of Crypto - Crypto Coin Planner GUI

Lecture 291 Introduction to the project

Lecture 292 Getting data with API

Lecture 293 Fetching data with python

Lecture 294 Creating Planner Functions

Lecture 295 Working with tkinter

Lecture 296 Designing Gui

Lecture 297 Update and Color Feature

Lecture 298 Download the project files

Section 43: Project-42: TweetBot: Your Personal Twitter Companion - Your Own Twitter Bot

Lecture 299 Introduction to the project

Lecture 300 Getting Access Keys

Lecture 301 Adding authentication functions

Lecture 302 Fetching tweets

Lecture 303 Storing data.

Lecture 304 Handling tweet id

Lecture 305 tweet reply function

Lecture 306 Automating bot

Lecture 307 Deployment phase

Lecture 308 Download the project files

Section 44: Project-43: DictBuilder: Crafting a Personal Dictionary -

Lecture 309 Introduction to the project

Lecture 310 Working with data

Lecture 311 File handling concept.

Lecture 312 Building dictionary application

Lecture 313 Building dictionary application continued

Lecture 314 Making close match function

Lecture 315 Adding gui features to dictionary

Lecture 316 Final project

Lecture 317 Download the project files

Section 45: Project-44: EggCatcher: A Fun Game of Precision - Egg-Catcher Game using Python

Lecture 318 Introduction to the game

Lecture 319 Setting up game screen

Lecture 320 Building requirements

Lecture 321 Building functions

Lecture 322 Building functiions continued

Lecture 323 Final commands

Lecture 324 Download the project files

Section 46: Project-45: RoutineTracker: Keeping Your Day on Track - Personal Routine Tracker

Lecture 325 Introduction to the project

Lecture 326 Designing application

Lecture 327 Designing application continued

Lecture 328 Building database

Lecture 329 Building database functions

Lecture 330 Connecting backend to frontend

Lecture 331 Completing project

Lecture 332 Download the project files

Section 47: Project-46: ScreenPet: Unleashing the Pet on Your Screen - Building Screen-Pet

Lecture 333 Introduction to the project

Lecture 334 Designing pet

Lecture 335 Designing pet continued

Lecture 336 Adding blinking functions

Lecture 337 CheekyFace and tongue toggle of pet

Lecture 338 Happy, sad and normal states of pet

Lecture 339 Main function

Lecture 340 Download the project files

Section 48: Project-47: CaterpillarGame: A Journey of Transformation - Building Caterpillar

Lecture 341 Introduction to the project

Lecture 342 Basics of turtle

Lecture 343 Starting Project

Lecture 344 Building functions

Lecture 345 Building function continued

Lecture 346 Game start function

Lecture 347 Adding command keys

Lecture 348 Download the project files

Section 49: Project-48: HangmanMaster: Cracking the Word Code - Building Hangman Game

Lecture 349 Introduction to the project

Lecture 350 Algorithm for the game

Lecture 351 Building Interface

Lecture 352 Creating words list

Lecture 353 Building main logic

Lecture 354 Building main logic continued

Lecture 355 Working with figures

Lecture 356 Final project

Lecture 357 Download the project files

Section 50: Project-49: SmartCalc: Math Made Easy - Developing our own Smart Calculator

Lecture 358 Introduction to the project

Lecture 359 Designing the window

Lecture 360 Designing the window continued

Lecture 361 Adding functions

Lecture 362 Building operations list

Lecture 363 Building main function

Lecture 364 Final project

Lecture 365 Download the project files

Section 51: Project-50: SecretSteganography: Hiding Messages in Images - Image-steganography

Lecture 366 Introduction to the project

Lecture 367 Designing application

Lecture 368 Building frames for window

Lecture 369 Decode function

Lecture 370 Encode function

Lecture 371 Final project

Lecture 372 Download the project files

Section 52: Project-51: Patient Summary Dashboard: Medical Records

Lecture 373 Introduction to data

Lecture 374 Data Cleaning

Lecture 375 Visualization

Lecture 376 Download the project files

Section 53: Project-52: Global Super Store Sales Data Analysis

Lecture 377 Introduction to data

Lecture 378 Visualization Part 1

Lecture 379 Visualization Part 2

Lecture 380 Download the project files

Section 54: Project-53: Boston Housing Dataset Dashboard: Real Estate

Lecture 381 Introduction to data

Lecture 382 Visualization part 1

Lecture 383 Visualization part 2

Lecture 384 Download the project files

Section 55: Project-54: Crime in Los Angeles: Yearly City Analysis

Lecture 385 Introduction to data

Lecture 386 Data Cleaning

Lecture 387 Visualization part 1

Lecture 388 Visualization Part 2

Lecture 389 Download the project files

Section 56: Project-55: IMDB Movie Dataset Dashboard: Movie Comparison

Lecture 390 Introduction to data

Lecture 391 Data Cleaning

Lecture 392 Visualization part 1

Lecture 393 Visualization part 2

Lecture 394 Download the project files

Section 57: Project-56: Hotel Reservation Dashboard: Global Hotel Business

Lecture 395 Introduction to data

Lecture 396 Data Cleaning

Lecture 397 Visualization part 1

Lecture 398 Visualization part 2

Lecture 399 Download the project files

Section 58: Project-57: Toy Sales Data Analysis: Practice Dataset

Lecture 400 Introduction to data

Lecture 401 Data cleaning and Realationships

Lecture 402 Transformation

Lecture 403 Visualization

Lecture 404 Download the project files

Section 59: Project-58: Netflix Stock Price Dashboard: Business Analysis

Lecture 405 Introduction to Data

Lecture 406 Date Master table

Lecture 407 Dashboard

Lecture 408 Download the project files

Section 60: Project-59: Personal Finance Management Dashboard: Financial Insights

Lecture 409 Introduction to dashboard

Lecture 410 Transformation of data

Lecture 411 Dashboard Building

Lecture 412 Download the project files

Section 61: Project-60: A Deep Dive into Bank Customer Churn with Power BI

Lecture 413 Introduction to Project

Lecture 414 Data Cleaning

Lecture 415 Visualization

Lecture 416 Dashboard

Lecture 417 Download the project files

Beginners in data science