Getting Started with Machine Learning in Python [Video]\Exercise Files\code_34963.zip |
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Getting Started with Machine Learning in Python [Video]\5.Unsupervised Learning - Segmenting Groups and Detecting Outliers\20.Reducing the Number of Variables in Your Data with PCA.mp4
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Getting Started with Machine Learning in Python [Video]\5.Unsupervised Learning - Segmenting Groups and Detecting Outliers\21.Smooth out Your Histograms with Kernel Density Estimation.mp4
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Getting Started with Machine Learning in Python [Video]\5.Unsupervised Learning - Segmenting Groups and Detecting Outliers\18.Exploring Unsupervised Learning and Its Usefulness.mp4
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Getting Started with Machine Learning in Python [Video]\5.Unsupervised Learning - Segmenting Groups and Detecting Outliers\19.Finding Groups Automatically with K-means Clustering.mp4
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Getting Started with Machine Learning in Python [Video]\2.Prepare Your Datasets for Machine Learning with Data Cleaning\08.Standardization and Normalization to Deal with Variables with Different Scales.mp4
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Getting Started with Machine Learning in Python [Video]\2.Prepare Your Datasets for Machine Learning with Data Cleaning\06.Fix Your Machine Learning Models by Understanding Your Data Source.mp4
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Getting Started with Machine Learning in Python [Video]\2.Prepare Your Datasets for Machine Learning with Data Cleaning\09.Eliminating Duplicate Entries.mp4
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Getting Started with Machine Learning in Python [Video]\2.Prepare Your Datasets for Machine Learning with Data Cleaning\07.Dealing with Missing Values – |
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Getting Started with Machine Learning in Python [Video]\6.Modeling Complex Relationships with Nonlinear Models\24.Reduce the Number of Learned Rules with Regularization.mp4
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Getting Started with Machine Learning in Python [Video]\6.Modeling Complex Relationships with Nonlinear Models\23.Deal with Nonlinear Relationships with Polynomial Regression.mp4
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Getting Started with Machine Learning in Python [Video]\6.Modeling Complex Relationships with Nonlinear Models\25.Automatic Feature Engineering with Support Vector Machines.mp4
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Getting Started with Machine Learning in Python [Video]\6.Modeling Complex Relationships with Nonlinear Models\22.Create Explainable Models with Decision Trees.mp4
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Getting Started with Machine Learning in Python [Video]\3.Put Data into Their Right Categories with Classification\11.Understanding Logistic Regression – |
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Getting Started with Machine Learning in Python [Video]\3.Put Data into Their Right Categories with Classification\12.Applying Logistic Regression to the Iris Classification Task.mp4
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Getting Started with Machine Learning in Python [Video]\3.Put Data into Their Right Categories with Classification\10.How Do We Learn Rules to Classify Objects.mp4
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Getting Started with Machine Learning in Python [Video]\3.Put Data into Their Right Categories with Classification\13.Closing Our First Machine Learning Pipeline with a Simple Model Evaluator.mp4
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models\05.Supervised Versus Unsupervised Learning.mp4
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models\01.The Course Overview.mp4
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models\04.Creating Machine-Learned Models with Python and scikit-learn.mp4
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models\03.Understanding What Machine Learning Can Do Using the Tasks Framework.mp4
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models\02.Machine Learning versus Rule-Based Programming.mp4
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Getting Started with Machine Learning in Python [Video]\4.Predict Numbers in the Future with Regression\15.Understanding Linear Regression – |
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Getting Started with Machine Learning in Python [Video]\4.Predict Numbers in the Future with Regression\16.Applying Linear Regression to the Boston House Price Task.mp4
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Getting Started with Machine Learning in Python [Video]\4.Predict Numbers in the Future with Regression\17.Evaluating Numerical Predictions with Least Squares.mp4
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Getting Started with Machine Learning in Python [Video]\4.Predict Numbers in the Future with Regression\14.Creating Formulas That Predict the Future – |
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Getting Started with Machine Learning in Python [Video]\Exercise Files |
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Getting Started with Machine Learning in Python [Video]\5.Unsupervised Learning - Segmenting Groups and Detecting Outliers |
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Getting Started with Machine Learning in Python [Video]\2.Prepare Your Datasets for Machine Learning with Data Cleaning |
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Getting Started with Machine Learning in Python [Video]\6.Modeling Complex Relationships with Nonlinear Models |
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Getting Started with Machine Learning in Python [Video]\3.Put Data into Their Right Categories with Classification |
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Getting Started with Machine Learning in Python [Video]\1. Launching a Python Environment to Create Machine Learning Models |
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Getting Started with Machine Learning in Python [Video]\4.Predict Numbers in the Future with Regression |
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Getting Started with Machine Learning in Python [Video] |
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