Complete Prediction And Detection Model Building With Python

Build data handling & manipulation projects with machine learning. Learn Java, Python & stock market prediction. & More!

What you'll learn
Learn how to code in Java, including all the fundamentals on superclasses, operations, and axis modifiers.
Build user interfaces for Android apps, including connecting all the features and implementing the backend
Code in Python is one of the Top 3 coding languages in demand this year.
Use Tensorflow, the #1 open source software library for dataflow programming.
Build hands-on projects and use source code to check your work and expand.
Meet the Mammoth Interactive community.
And more.
Requirements
All Levels Welcome
Description
Build 9 projects while learning to code and build machine learning models. Experience the power of cutting edge frameworks and learn to handle all types of data.With crystal-clear audio, HD screencasts, and over 120 lectures, this is a course you do not want to miss.You'll build Image Recognition apps that have powerful features. You'll learn topics that include:
Stock Market PredictionRetrieving Data via RESTful API CallParsing JSON Data, Pycharm-StyleProcessing Text DataSetting up Vocab DictionaryWeather PredictionFirst: A Thorough Introduction For BeginnersLearn to download and install Android Studio and explore the interface. You'll get all source code and project files for the 9 hands-on projects in this course.You’ll learn how to code in Java, including all the fundamentals on superclasses, operations, and axis modifiers. You'll learn how to build a user interface for an Android App, including connecting all the features and implementing the backend. Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in the course Hands-On Machine Learning: Learn TensorFlow, Python, & Java!Code In The Top Languages Of The YearYou'll learn how to code in Python, which we will show you through Pycharm. Python is one of the Top 3 coding languages in demand this year, alongside Java and Javascript. Python is used by companies big and small like YouTube, Instagram, and Google.Use The Top Software For ProgrammingYou will learn how to use Tensorflow, the #1 open source software library for dataflow programming. Tensorflow is a symbolic math library, and we will use it for machine learning applications.And MORE Data Handling And Manipulation ProjectsFormatting DatasetsBuilding Computational GraphExploring the CIFAR 10 DatasetLoading and Displaying ImagesLoading Face and Non Face ImagesEmotions Detection Project

Overview

Section 1: Introduction to Machine Learning + Software

Lecture 1 Projects Overview

Lecture 2 Prediction and Detection Project Resources - Mammoth Interactive

Section 2: Android Studio

Lecture 3 Downloading and Installing Android Studio

Lecture 4 Exploring Interface

Lecture 5 Setting up an Emulator and Running Project

Lecture 6 Code

Section 3: Introduction to the Java Programming Language

Lecture 7 Introduction to the Java Programming Language

Lecture 8 Variable Types

Lecture 9 Operations on Variables

Lecture 10 Array and Lists

Lecture 11 Array and List Operations

Lecture 12 If and Switch Statements

Lecture 13 While Loops

Lecture 14 For Loops

Lecture 15 Functions

Lecture 16 Parameters and Return Values

Lecture 17 Classes and Objects

Lecture 18 Superclass and Subclasses

Lecture 19 Static Variables and Axis Modifiers

Section 4: App Development

Lecture 20 Intro To Android App Development

Lecture 21 Building Basic UI

Lecture 22 Connecting UI to Backend

Lecture 23 Implementing Backend and Tidying UI

Section 5: Machine Learning Concepts

Lecture 24 Machine Learning Explained

Lecture 25 Pycharm Files - Mammoth Interactive

Section 6: Pycharm Projects Overview

Lecture 26 Project Overview

Lecture 27 Pycharm Source Files - Mammoth Interactive

Section 7: Introduction to PyCharm

Lecture 28 Downloading and Installing Pycharm and Python

Lecture 29 Exploring Pycharm

Section 8: Python Language Basics

Lecture 30 Introduction to Variables

Lecture 31 Variables Operations and Conversions

Lecture 32 Collection Types

Lecture 33 Collections Operations

Lecture 34 Control Flow If Statements

Lecture 35 While and For Loops

Lecture 36 Functions

Lecture 37 Classes and Objects

Section 9: Beginner's Tensorflow Project

Lecture 38 Project Demo

Lecture 39 Topics List

Lecture 40 Installing TensorFlow

Lecture 41 Importing Tensorflow to Pycharm

Lecture 42 FAQ: Help with TensorFlow Installation

Lecture 43 Constant Nodes and Sessions

Lecture 44 Variable Nodes

Lecture 45 Placeholder Nodes

Lecture 46 Operation nodes

Lecture 47 Loss, Optimizers, and Training

Lecture 48 Building a Linear Regression Model

Lecture 49 Tensorflow Project Files - Mammoth Interactive

Section 10: Build Image Recognition Apps

Lecture 50 Introduction to Upcoming Projects

Lecture 51 Source Code - Mammoth Interactive

Section 11: Stock Market Prediction

Lecture 52 Project Demo

Lecture 53 Project Overview

Lecture 54 If Receiving JSON Parsing Error

Lecture 55 Retrieving Data via RESTful API Call

Lecture 56 Parsing JSON Data Pycharm Style

Lecture 57 Formatting Data

Lecture 58 Building the Model

Lecture 59 Training and Testing The model

Lecture 60 Freezing Graph

Lecture 61 Setting up Android Project

Lecture 62 Building UI

Lecture 63 Requesting Data Via AsyncTask

Lecture 64 Parsing JSON Data Android Style

Lecture 65 Running Inference and Displaying Results

Lecture 66 Stock Market Prediction Project Files - Mammoth Interactive

Section 12: Text Prediction

Lecture 67 Project Demo

Lecture 68 Project Overview

Lecture 69 Processing Text Data

Lecture 70 Building Data Sets and Model Builder Function

Lecture 71 Building Computational Graph

Lecture 72 Writing Training and Testing Code

Lecture 73 Training, Testing, and Freezing Graph

Lecture 74 Setting up Android Project

Lecture 75 Setting Up a User Interface

Lecture 76 Setting up Vocab Dictionary

Lecture 77 Formatting Input and Running Through Model

Lecture 78 Interpreting Results and Summary

Lecture 79 Text Prediction - Mammoth Interactive

Section 13: Weather Prediction

Lecture 80 Project Demo

Lecture 81 Project Overview

Lecture 82 Retrieving the Data

Lecture 83 Formatting Datasets

Lecture 84 Building Computational Graph

Lecture 85 Writing Training, Testing, and Evaluating Functions

Lecture 86 Training, Testing, and Freezing the Model

Lecture 87 Setting up Android Project

Lecture 88 Building the User Interface

Lecture 89 Build App Backend and Project Summary

Lecture 90 Weather Prediction - Mammoth Interactive

Section 14: Build Scientific Analysis Apps

Lecture 91 Introduction to Upcoming Projects

Lecture 92 Source Code - Mammoth Interactive

Section 15: Simple CIFAR10

Lecture 93 Project Demo

Lecture 94 Project Overview

Lecture 95 Exploring CIFAR 10 Dataset

Lecture 96 CIFAR 10 Android Fix

Lecture 97 Formatting Input Data

Lecture 98 Building the Model

Lecture 99 Freezing Graph and Training Model

Lecture 100 Setting up the Android Project

Lecture 101 Setting up UI

Lecture 102 Loading and Displaying Images

Lecture 103 Formatting Image Data for Model Input

Lecture 104 Predicting and Displaying Results

Lecture 105 Project Summary

Lecture 106 CIFAR 10 Project Files - Mammoth Interactive

Section 16: Face Detection

Lecture 107 Project Demo

Lecture 108 Project Overview

Lecture 109 Loading Face and Non Face Images

Lecture 110 Reformatting Input Data

Lecture 111 Building Model and Writing Train and Test Scripts

Lecture 112 Freezing Graph and Training and Testing Model

Lecture 113 Setting up Android Project

Lecture 114 Setting up User Interface

Lecture 115 Loading and Display Images

Lecture 116 Formatting Data and Running Inference

Lecture 117 Displaying Results and Summary

Lecture 118 Facial Detection Project Files - Mammoth Interactive

Section 17: Emotions Detection

Lecture 119 Project Demo

Lecture 120 Project Overview

Lecture 121 Loading and Formatting Data

Lecture 122 Building Train and Test Data Sets

Lecture 123 Building the Model

Lecture 124 Building Train, Test, and Prediction Functions

Lecture 125 Training and Testing the Model

Lecture 126 Setting up Android Project

Lecture 127 Importing and Displaying Images

Lecture 128 Convert Images and Running Inference

Lecture 129 Displaying Results and Summary

Lecture 130 Detecting Emotions Project Files - Mammoth Interactive

Lecture 131 Bonus Lecture Community Newsletter

Take this course if you want to create Stock Market and Weather Prediction models, code, process data, and much more.