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designing-machine-learning-model.zip |
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3 - Choosing the Right Machine Learning Problem\16 - Reinforcement Learning.mp4
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3 - Choosing the Right Machine Learning Problem\18 - Module Summary.mp4
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3 - Choosing the Right Machine Learning Problem\14 - Choosing the Right Machine Learning Problem.mp4
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3 - Choosing the Right Machine Learning Problem\17 - Recommendation Systems.mp4
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3 - Choosing the Right Machine Learning Problem\13 - Module Overview.mp4
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3 - Choosing the Right Machine Learning Problem\15 - Supervised and Unsupervised Learning.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\52 - Regression Using Bagging and Pasting.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\51 - Exploring and Preprocessing the Regression Dataset.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\50 - Classification Using Hard Voting and Soft Voting.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\53 - Regression Using Gradient Boosting.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\49 - Module Overview.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\54 - Regression Using Neural Networks.mp4
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7 - Building Ensemble Solutions and Neural Network Solutions\55 - Summary and Further Study.mp4
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1 - Course Overview\01 - Course Overview.mp4
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2 - Exploring Approaches to Machine Learning\05 - Sentiment Analysis as a Binary Classification Problem.mp4
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2 - Exploring Approaches to Machine Learning\04 - A Case Study - Sentiment Analysis.mp4
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2 - Exploring Approaches to Machine Learning\09 - Deep Learning and Neural Networks.mp4
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2 - Exploring Approaches to Machine Learning\02 - Module Overview.mp4
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2 - Exploring Approaches to Machine Learning\07 - Traditional Machine Learning Systems.mp4
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2 - Exploring Approaches to Machine Learning\12 - Module Summary.mp4
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2 - Exploring Approaches to Machine Learning\10 - Traditional ML vs. Deep Learning.mp4
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2 - Exploring Approaches to Machine Learning\11 - Traditional ML Algorithms and Neural Network Design.mp4
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2 - Exploring Approaches to Machine Learning\08 - Representation Machine Learning Systems.mp4
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2 - Exploring Approaches to Machine Learning\06 - Rule Based vs. ML Based Analysis.mp4
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2 - Exploring Approaches to Machine Learning\03 - Prerequisites and Course Outline.mp4
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6 - Designing Machine Learning Workflows\45 - Ensemble Learning.mp4
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6 - Designing Machine Learning Workflows\47 - Custom Neural Networks - Their Characteristics and Applications.mp4
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6 - Designing Machine Learning Workflows\46 - Averaging and Boosting, Voting and Stacking.mp4
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6 - Designing Machine Learning Workflows\44 - Case Study - PyTorch on the Cloud.mp4
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6 - Designing Machine Learning Workflows\43 - The Machine Learning Workflow.mp4
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6 - Designing Machine Learning Workflows\48 - Module Summary.mp4
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6 - Designing Machine Learning Workflows\42 - Module Overview.mp4
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4 - Choosing the Right Machine Learning Solution\22 - Evaluating Regression Models.mp4
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4 - Choosing the Right Machine Learning Solution\19 - Module Overview.mp4
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4 - Choosing the Right Machine Learning Solution\26 - Clustering Models.mp4
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4 - Choosing the Right Machine Learning Solution\29 - Module Summary.mp4
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4 - Choosing the Right Machine Learning Solution\28 - Dimensionality Reduction Techniques.mp4
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4 - Choosing the Right Machine Learning Solution\27 - The Curse of Dimensionality.mp4
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4 - Choosing the Right Machine Learning Solution\24 - Choosing Classification Algorithms.mp4
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4 - Choosing the Right Machine Learning Solution\21 - Choosing Regression Algorithms.mp4
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4 - Choosing the Right Machine Learning Solution\23 - Types of Classification.mp4
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4 - Choosing the Right Machine Learning Solution\25 - Evaluating Classifiers.mp4
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4 - Choosing the Right Machine Learning Solution\20 - Regression Models.mp4
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5 - Building Simple Machine Learning Solutions\40 - Dimensionality Reduction Using Manifold Learning.mp4
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5 - Building Simple Machine Learning Solutions\34 - Multiple Regression Using Analytical and Machine Learning Techniques.mp4
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5 - Building Simple Machine Learning Solutions\36 - Classification Using Logistic Regression.mp4
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5 - Building Simple Machine Learning Solutions\33 - Simple Regression Using Analytical and Machine Learning Techniques.mp4
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5 - Building Simple Machine Learning Solutions\41 - Module Summary.mp4
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5 - Building Simple Machine Learning Solutions\32 - Exploring the Regression Dataset.mp4
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5 - Building Simple Machine Learning Solutions\37 - Classification Using Decision Trees.mp4
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5 - Building Simple Machine Learning Solutions\38 - Clustering Using K-means .mp4
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5 - Building Simple Machine Learning Solutions\30 - Module Overview.mp4
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5 - Building Simple Machine Learning Solutions\31 - Install and Set Up.mp4
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5 - Building Simple Machine Learning Solutions\39 - Dimensionality Reduction Using Principal Component Analysis.mp4
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5 - Building Simple Machine Learning Solutions\35 - Exploring the Classification Dataset.mp4
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