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Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classif…

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MLClassProjects

Andrew Ng's Machine Learning Class Projects

Description:


Ex1 - Gradient Descent, Newton's Method, Linear Regression
Ex2 - Sigmoid Kernels
Ex3 - Logistic Regression Implementation
Ex4 - Neural Networks implementation for Digit Recognition
Ex5 - Regularized Linear Regression, Polynomial Regression
Ex6 - SVM (Kernel implementation) for Spam Classification
Ex8 - Recommender System (Collaborative Filtering) and Anomaly Detection

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Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classif…

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