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Complete Prediction and Detection Model Building with Python

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John Bura,Mammoth Interactive

18:15:17

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  • 1 - Projects Overview.mp4
    02:25
  • 2 - PredictionandDetectionProjectResourcesMammothInteractive.zip
  • 2 - Prediction and Detection Project Resources Mammoth Interactive.html
  • 3 - Downloading and Installing Android Studio.mp4
    06:44
  • 4 - Exploring Interface.mp4
    12:12
  • 5 - Setting up an Emulator and Running Project.mp4
    06:43
  • 6 - Code.html
  • 6 - Code.zip
  • 7 - Introduction to the Java Programming Language.mp4
    02:46
  • 8 - Variable Types.mp4
    14:00
  • 9 - Operations on Variables.mp4
    10:49
  • 10 - Array and Lists.mp4
    09:26
  • 11 - Array and List Operations.mp4
    08:00
  • 12 - If and Switch Statements.mp4
    11:34
  • 13 - While Loops.mp4
    10:09
  • 14 - For Loops.mp4
    08:51
  • 15 - Functions.mp4
    08:39
  • 16 - Parameters and Return Values.mp4
    07:05
  • 17 - Classes and Objects.mp4
    12:14
  • 18 - Superclass and Subclasses.mp4
    11:42
  • 19 - Static Variables and Axis Modifiers.mp4
    07:27
  • 20 - Intro To Android App Development.mp4
    01:57
  • 21 - Building Basic UI.mp4
    12:15
  • 22 - Connecting UI to Backend.mp4
    06:12
  • 23 - Implementing Backend and Tidying UI.mp4
    09:09
  • 24 - Machine Learning Explained.html
  • 25 - PycharmFiles.zip
  • 25 - Pycharm Files Mammoth Interactive.html
  • 26 - Project Overview.mp4
    02:40
  • 27 - PycharmSourceFilesMammothInteractive.zip
  • 27 - Pycharm Source Files Mammoth Interactive.html
  • 28 - Downloading and Installing Pycharm and Python.mp4
    06:55
  • 29 - Exploring Pycharm.mp4
    07:48
  • 30 - Introduction to Variables.mp4
    13:17
  • 31 - Variables Operations and Conversions.mp4
    12:35
  • 32 - Collection Types.mp4
    12:47
  • 33 - Collections Operations.mp4
    08:42
  • 34 - Control Flow If Statements.mp4
    12:50
  • 35 - While and For Loops.mp4
    10:44
  • 36 - Functions.mp4
    11:23
  • 37 - Classes and Objects.mp4
    15:40
  • 38 - Project Demo.mp4
    02:53
  • 39 - Topics List.mp4
    06:09
  • 40 - Installing TensorFlow.html
  • 41 - Importing Tensorflow to Pycharm.mp4
    04:25
  • 42 - FAQ Help with TensorFlow Installation.html
  • 43 - Constant Nodes and Sessions.mp4
    09:01
  • 44 - Variable Nodes.mp4
    10:46
  • 45 - Placeholder Nodes.mp4
    07:35
  • 46 - Operation nodes.mp4
    12:47
  • 47 - Loss Optimizers and Training.mp4
    11:56
  • 48 - Building a Linear Regression Model.mp4
    20:30
  • 49 - TensorflowProjectFilesMammothInteractive.zip
  • 49 - Tensorflow Project Files Mammoth Interactive.html
  • 50 - Introduction to Upcoming Projects.mp4
    06:34
  • 51 - SourceCodeMammothInteractive.zip
  • 51 - Source Code Mammoth Interactive.html
  • 52 - Project Demo.mp4
    03:47
  • 53 - Project Overview.mp4
    05:17
  • 54 - If Receiving JSON Parsing Error.html
  • 55 - Retrieving Data via RESTful API Call.mp4
    16:30
  • 56 - Parsing JSON Data Pycharm Style.mp4
    06:37
  • 57 - Formatting Data.mp4
    15:45
  • 58 - Building the Model.mp4
    13:26
  • 59 - Training and Testing The model.mp4
    09:54
  • 60 - Freezing Graph.mp4
    10:06
  • 61 - Setting up Android Project.mp4
    06:07
  • 62 - Building UI.mp4
    08:25
  • 63 - Requesting Data Via AsyncTask.mp4
    15:29
  • 64 - Parsing JSON Data Android Style.mp4
    12:04
  • 65 - Running Inference and Displaying Results.mp4
    17:42
  • 66 - 13StockMarketPredictionProjectFilesMammothInteractive.zip
  • 66 - Stock Market Prediction Project Files Mammoth Interactive.html
  • 67 - Project Demo.mp4
    04:13
  • 68 - Project Overview.mp4
    03:18
  • 69 - Processing Text Data.mp4
    13:18
  • 70 - Building Data Sets and Model Builder Function.mp4
    16:16
  • 71 - Building Computational Graph.mp4
    08:37
  • 72 - Writing Training and Testing Code.mp4
    15:11
  • 73 - Training Testing and Freezing Graph.mp4
    12:28
  • 74 - Setting up Android Project.mp4
    07:41
  • 75 - Setting Up a User Interface.mp4
    05:19
  • 76 - Setting up Vocab Dictionary.mp4
    08:34
  • 77 - Formatting Input and Running Through Model.mp4
    07:55
  • 78 - Interpreting Results and Summary.mp4
    08:00
  • 79 - TextPredictionMammothInteractive.zip
  • 79 - Text Prediction Mammoth Interactive.html
  • 80 - Project Demo.mp4
    03:49
  • 81 - Project Overview.mp4
    04:36
  • 82 - Retrieving the Data.mp4
    14:00
  • 83 - Formatting Datasets.mp4
    14:02
  • 84 - Building Computational Graph.mp4
    11:47
  • 85 - Writing Training Testing and Evaluating Functions.mp4
    12:24
  • 86 - Training Testing and Freezing the Model.mp4
    09:48
  • 87 - Setting up Android Project.mp4
    08:05
  • 88 - Building the User Interface.mp4
    15:29
  • 89 - Build App Backend and Project Summary.mp4
    13:46
  • 90 - WeatherPredictionMammothInteractive.zip
  • 90 - Weather Prediction Mammoth Interactive.html
  • 91 - Introduction to Upcoming Projects.mp4
    09:44
  • 92 - SourceCodeMammothInteractive.zip
  • 92 - Source Code Mammoth Interactive.html
  • 93 - Project Demo.mp4
    04:47
  • 94 - Project Overview.mp4
    03:47
  • 95 - Exploring CIFAR 10 Dataset.mp4
    10:48
  • 96 - CIFAR 10 Android Fix.html
  • 97 - Formatting Input Data.mp4
    13:13
  • 98 - Building the Model.mp4
    16:24
  • 99 - Freezing Graph and Training Model.mp4
    16:56
  • 100 - Setting up the Android Project.mp4
    16:43
  • 101 - Setting up UI.mp4
    09:02
  • 102 - Loading and Displaying Images.mp4
    06:33
  • 103 - Formatting Image Data for Model Input.mp4
    13:55
  • 104 - Predicting and Displaying Results.mp4
    13:26
  • 105 - Project Summary.mp4
    06:39
  • 106 - CIFAR10ProjectFilesMammothInteractive.zip
  • 106 - CIFAR 10 Project Files Mammoth Interactive.html
  • 107 - Project Demo.mp4
    03:20
  • 108 - Project Overview.mp4
    03:09
  • 109 - Loading Face and Non Face Images.mp4
    15:56
  • 110 - Reformatting Input Data.mp4
    11:12
  • 111 - Building Model and Writing Train and Test Scripts.mp4
    19:12
  • 112 - Freezing Graph and Training and Testing Model.mp4
    14:38
  • 113 - Setting up Android Project.mp4
    11:49
  • 114 - Setting up User Interface.mp4
    07:52
  • 115 - Loading and Display Images.mp4
    10:11
  • 116 - Formatting Data and Running Inference.mp4
    12:47
  • 117 - Displaying Results and Summary.mp4
    08:51
  • 118 - FacialDetectionProjectFilesMammothInteractive.zip
  • 118 - Facial Detection Project Files Mammoth Interactive.html
  • 119 - Project Demo.mp4
    03:39
  • 120 - Project Overview.mp4
    02:34
  • 121 - Loading and Formatting Data.mp4
    11:13
  • 122 - Building Train and Test Data Sets.mp4
    06:52
  • 123 - Building the Model.mp4
    09:57
  • 124 - Building Train Test and Prediction Functions.mp4
    11:58
  • 125 - Training and Testing the Model.mp4
    11:06
  • 126 - Setting up Android Project.mp4
    06:33
  • 127 - Importing and Displaying Images.mp4
    06:25
  • 128 - Convert Images and Running Inference.mp4
    08:17
  • 129 - Displaying Results and Summary.mp4
    07:48
  • 130 - 11DetectingEmotionsProjectFilesMammothInteractive.zip
  • 130 - Detecting Emotions Project Files Mammoth Interactive.html
  • 131 - Bonus Lecture Community Newsletter.html
  • Description


    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.

    Who is this for?


  • Take this course if you want to create Stock Market and Weather Prediction models, code, process data, and much more.
  • What You Need to Know?


  • All Levels Welcome
  • More details


    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 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

    Who this course is for:

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

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    John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.
    Mammoth Interactive
    Mammoth Interactive
    Instructor's Courses
    Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you."I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W."Very good at explaining the basics then building to more complex features." – Student Kevin L.Try a course today.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 112
    • duration 18:15:17
    • English subtitles has
    • Release Date 2024/03/22