[2019-11-7] Update: Add Generative Adversarial Nets on MNIST in 01-UnsupervisedLerning [2019-11-5] Update: Add 99.76% accuracy mnist model CS229-ML-Implements(CS229机器学习算法的Python实现) Implements of cs229(Machine Learning taught by Andrew Ng) in python. I must pay all my attention to my papers, therefore the repository won't update soon. CS229 Machine Learning Xmind: CS229 Machine Learning course and notes: OpenCourse cs229-Notes Syllabus： Linear Regression Normal Equation Locally Weighted Regression Logistic Regression Perceptron Algorithm Newton Method Softmax Regression Gaussian Discriminant Analysis Naive Bayes spam-filter Examples Linear Regression Locally Weighted Regression Logistic Regression Softmax Regression Gaussian Discriminant Analysis Naive Bayes spam-filter TO BE CONTINUED
