GitHub - zyedZ/Machine_learning-Coursera: Machine Learning algorithm implementation

This file content different implementation of machine learning algorithm

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
1-Linear regression with one variable,with multiple variables and the Normal Equations		1-Linear regression with one variable,with multiple variables and the Normal Equations
2-Logistic Regression,Regularized logistic regression		2-Logistic Regression,Regularized logistic regression
3-Multi-class Classification and Neural Networks		3-Multi-class Classification and Neural Networks
4-Neural Networks and Backpropagation algorithm		4-Neural Networks and Backpropagation algorithm
5-Learning curves = Bias&Variance		5-Learning curves = Bias&Variance
6-SVM=Support Vector Machines with Gaussian Kernels and Spam Classification exemple		6-SVM=Support Vector Machines with Gaussian Kernels and Spam Classification exemple
7-K-means Clustering and Principal Component Analysis		7-K-means Clustering and Principal Component Analysis
8-Anomaly Detection and Recommender Systems		8-Anomaly Detection and Recommender Systems
.gitattributes		.gitattributes
README.md		README.md

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