# Fundamentals of Machine Learning with Python - Part 9: Anomaly Detection and Recommender Systems

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 8: Dimensionality Reduction - K Means Clustering and PCA

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 7: Support Vector Machines

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 6: Regularized Linear Regression and Bias Variance

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification and Neuronal Networks Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines…

# Fundamentals of Machine Learning with Python - Part 5: Neural Network Learning

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 4: Multi-class Classification

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 3: Logistic Regression

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 2: Linear Regression with Multiple Variables

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…

# Fundamentals of Machine Learning with Python - Part 1: Linear Regression with One Variable

This post - like all others in this series - refers to Andrew Ng's machine learning class on Coursera and provides Python code for the  exercises.  The pure code, exercise text, and data files for all parts of the series are available here. Part 1:  Linear Regression with One Variable Part 2 :  Linear Regression with Multiple Variables Part 3 : Logistic Regression Part 4:  Multi-class Classification Part 5:  Neuronal Network Learning Part 6 : Regularized Linear Regression and Bias Variance  Part 7: Support Vector Machines Part 8: Dimensionality…