Complete Prediction and Detection Model Building with Python

Complete Prediction and Detection Model Building with Python, available at $49.99, has an average rating of 4.39, with 131 lectures, based on 9 reviews, and has 202 subscribers.

You will learn about 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. This course is ideal for individuals who are Take this course if you want to create Stock Market and Weather Prediction models, code, process data, and much more. It is particularly useful for Take this course if you want to create Stock Market and Weather Prediction models, code, process data, and much more.

Enroll now: Complete Prediction and Detection Model Building with Python

Summary

Title: Complete Prediction and Detection Model Building with Python

Price: $49.99

Average Rating: 4.39

Number of Lectures: 131

Number of Published Lectures: 131

Number of Curriculum Items: 131

Number of Published Curriculum Objects: 131

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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 Prediction

Retrieving Data via RESTful API Call

Parsing JSON Data, Pycharm-Style

Processing Text Data

Setting up Vocab Dictionary

Weather Prediction

First: A Thorough Introduction For Beginners

Learn 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 Year

You’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 Programming

You 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 Projects

Formatting Datasets

Building Computational Graph

Exploring the CIFAR 10 Dataset

Loading and Displaying Images

Loading Face and Non Face Images

Emotions Detection Project

Course Curriculum

Chapter 1: Introduction to Machine Learning + Software

Lecture 1: Projects Overview

Lecture 2: Prediction and Detection Project Resources – Mammoth Interactive

Chapter 2: Android Studio

Lecture 1: Downloading and Installing Android Studio

Lecture 2: Exploring Interface

Lecture 3: Setting up an Emulator and Running Project

Lecture 4: Code

Chapter 3: Introduction to the Java Programming Language

Lecture 1: Introduction to the Java Programming Language

Lecture 2: Variable Types

Lecture 3: Operations on Variables

Lecture 4: Array and Lists

Lecture 5: Array and List Operations

Lecture 6: If and Switch Statements

Lecture 7: While Loops

Lecture 8: For Loops

Lecture 9: Functions

Lecture 10: Parameters and Return Values

Lecture 11: Classes and Objects

Lecture 12: Superclass and Subclasses

Lecture 13: Static Variables and Axis Modifiers

Chapter 4: App Development

Lecture 1: Intro To Android App Development

Lecture 2: Building Basic UI

Lecture 3: Connecting UI to Backend

Lecture 4: Implementing Backend and Tidying UI

Chapter 5: Machine Learning Concepts

Lecture 1: Machine Learning Explained

Lecture 2: Pycharm Files – Mammoth Interactive

Chapter 6: Pycharm Projects Overview

Lecture 1: Project Overview

Lecture 2: Pycharm Source Files – Mammoth Interactive

Chapter 7: Introduction to PyCharm

Lecture 1: Downloading and Installing Pycharm and Python

Lecture 2: Exploring Pycharm

Chapter 8: Python Language Basics

Lecture 1: Introduction to Variables

Lecture 2: Variables Operations and Conversions

Lecture 3: Collection Types

Lecture 4: Collections Operations

Lecture 5: Control Flow If Statements

Lecture 6: While and For Loops

Lecture 7: Functions

Lecture 8: Classes and Objects

Chapter 9: Beginners Tensorflow Project

Lecture 1: Project Demo

Lecture 2: Topics List

Lecture 3: Installing TensorFlow

Lecture 4: Importing Tensorflow to Pycharm

Lecture 5: FAQ: Help with TensorFlow Installation

Lecture 6: Constant Nodes and Sessions

Lecture 7: Variable Nodes

Lecture 8: Placeholder Nodes

Lecture 9: Operation nodes

Lecture 10: Loss, Optimizers, and Training

Lecture 11: Building a Linear Regression Model

Lecture 12: Tensorflow Project Files – Mammoth Interactive

Chapter 10: Build Image Recognition Apps

Lecture 1: Introduction to Upcoming Projects

Lecture 2: Source Code – Mammoth Interactive

Chapter 11: Stock Market Prediction

Lecture 1: Project Demo

Lecture 2: Project Overview

Lecture 3: If Receiving JSON Parsing Error

Lecture 4: Retrieving Data via RESTful API Call

Lecture 5: Parsing JSON Data Pycharm Style

Lecture 6: Formatting Data

Lecture 7: Building the Model

Lecture 8: Training and Testing The model

Lecture 9: Freezing Graph

Lecture 10: Setting up Android Project

Lecture 11: Building UI

Lecture 12: Requesting Data Via AsyncTask

Lecture 13: Parsing JSON Data Android Style

Lecture 14: Running Inference and Displaying Results

Lecture 15: Stock Market Prediction Project Files – Mammoth Interactive

Chapter 12: Text Prediction

Lecture 1: Project Demo

Lecture 2: Project Overview

Lecture 3: Processing Text Data

Lecture 4: Building Data Sets and Model Builder Function

Lecture 5: Building Computational Graph

Lecture 6: Writing Training and Testing Code

Lecture 7: Training, Testing, and Freezing Graph

Lecture 8: Setting up Android Project

Lecture 9: Setting Up a User Interface

Lecture 10: Setting up Vocab Dictionary

Lecture 11: Formatting Input and Running Through Model

Lecture 12: Interpreting Results and Summary

Lecture 13: Text Prediction – Mammoth Interactive

Chapter 13: Weather Prediction

Lecture 1: Project Demo

Lecture 2: Project Overview

Lecture 3: Retrieving the Data

Lecture 4: Formatting Datasets

Lecture 5: Building Computational Graph

Lecture 6: Writing Training, Testing, and Evaluating Functions

Lecture 7: Training, Testing, and Freezing the Model

Lecture 8: Setting up Android Project

Instructors

Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students

John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 0 votes

5 stars: 6 votes

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