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[DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python.zip 404.0 MB
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Ex_Files_Excel_BI_Pt2_Data_Modeling.zip 33.8 MB
03.Data Modeling 101/0307.Create table relationships.mp4 17.9 MB
03.Data Modeling 101/0311.Connect multiple data tables.mp4 16.1 MB
03.Data Modeling 101/0305.Data tables versus lookup tables.mp4 16.1 MB
03.Data Modeling 101/0310.Relationship cardinality.mp4 15.4 MB
03.Data Modeling 101/0312.Filter direction.mp4 14.2 MB
03.Data Modeling 101/0304.Database normalization.mp4 12.3 MB
03.Data Modeling 101/0313.Hide fields from client tools.mp4 12.3 MB
02.Getting Started/0201.Important Versions and compatibility.mp4 11.8 MB
03.Data Modeling 101/0302.Meet the Excel data model.mp4 11.7 MB
03.Data Modeling 101/0309.Active versus inactive relationships.mp4 10.2 MB
03.Data Modeling 101/0314.Define hierarchies.mp4 9.7 MB
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03.Data Modeling 101/0306.Relationships versus merged tables.mp4 6.4 MB
01.Introduction/0101.Welcome.mp4 5.9 MB
02.Getting Started/0202.Set expectations.mp4 5.2 MB
03.Data Modeling 101/0315.Data model best practices.mp4 4.6 MB
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02_Intermediate/08_AngularJS Line of Business Applications.zip 1.1 GB
02_Intermediate/09_AngularJS Best Practices.zip 953.7 MB
02_Intermediate/10_AngularJS Patterns - Clean Code.zip 908.7 MB
02_Intermediate/07_AngularJS Directives Fundamentals.zip 760.0 MB
02_Intermediate/04_AngularJS Services In-depth.zip 676.5 MB
02_Intermediate/06_AngularJS Unit Testing in-depth, Using ngMock.zip 499.0 MB
02_Intermediate/05_AngularJS Routing In-depth.zip 363.9 MB
03_Advanced/12_Building a SPA Framework Using AngularJS/Exercise Files/Exercise Files building-spa-framework-angularjs.zip 116.0 MB
03_Advanced/12_Building a SPA Framework Using AngularJS/06. Additional Angular SPA Features/09. Using Gulp to Package Components.mp4 83.2 MB
03_Advanced/11_AngularJS In-Depth/02. AngularJS Directive Basics/02. The Controller & Link Functions.mp4 73.9 MB
03_Advanced/11_AngularJS In-Depth/04. Testing with AngularJS/01. Implementing Unit Tests.mp4 66.7 MB
03_Advanced/11_AngularJS In-Depth/01. Build a Strong AngularJS Foundation/07. Coding an MVVM Application.mp4 64.3 MB
03_Advanced/11_AngularJS In-Depth/06. AngularJS Animations/03. JavaScript Animations.mp4 64.0 MB
03_Advanced/13_An AngularJS Playbook/Exercise Files angularjs-playbook.zip 55.6 MB
03_Advanced/11_AngularJS In-Depth/05. Advanced AngularJS Directives/03. Coding Advanced Directives - Sort.mp4 55.1 MB
03_Advanced/11_AngularJS In-Depth/02. AngularJS Directive Basics/04. Audience Questions.mp4 54.7 MB
01_Beginner/02_AngularJS Fundamentals/Exercise Files/Exercise Files angularjs-fundamentals.zip 50.9 MB
03_Advanced/11_AngularJS In-Depth/02. AngularJS Directive Basics/03. Simple Directive with jQuery.mp4 50.7 MB
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01 Introduction And Project Overview/0101-mp4.mp4 4.0 MB
01 Introduction And Project Overview/0102-mp4.mp4 7.3 MB
01 Introduction And Project Overview/0103-mp4.mp4 3.6 MB
01 Introduction And Project Overview/0104-mp4.mp4 7.7 MB
02 Introduction To The Interface/0201-mp4.mp4 6.8 MB
02 Introduction To The Interface/0202-mp4.mp4 8.7 MB
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02 Introduction To The Interface/0206-mp4.mp4 10.3 MB
02 Introduction To The Interface/0207-mp4.mp4 13.0 MB
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02 Introduction To The Interface/0210-mp4.mp4 7.0 MB
02 Introduction To The Interface/0211-mp4.mp4 11.8 MB
03 Creating The Cave/0301-mp4.mp4 16.2 MB
03 Creating The Cave/0302-mp4.mp4 13.2 MB
03 Creating The Cave/0303-mp4.mp4 18.0 MB
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
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7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
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9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 150.8 MB
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6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
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3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4 21.5 MB
3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 30.1 MB
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3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 24.4 MB
3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 29.7 MB
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4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 19.3 MB
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1.Introduction/03.What this course doesn't cover.en.srt 4.9 kB
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1.Introduction/04.Introducing Ubuntu.en.srt 8.3 kB
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2.1. Getting Started with Ubuntu/05.Getting Ubuntu.mp4 3.3 MB
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