100-Days-Of-ML-Code Studied with origin version by Avik-Jain. Chinese version with MLEveryday. Contents Supervised Learning Data PreProcessing Simple Linear Regression Multiple Linear Regression Logistic Regression K Nearest Neighbours(K-NN) Support Vector Machine(SVM) Decision Tree Random Forest Unsupervised Learning K-Means Clustering Hierarchical Clustering Data PreProcessing | Day 1 Simple Linear Regression | Day 2 Multiple Linear Regression | Day 3 Logistic Regression | Day 4 K Nearest Neighbours(K-NN) | Day 7 Support Vector Machines(SVM) | Day 12 Decision Trees | Day 23 Random Forests | Day 33 K Means Clustering | Day 43 Hierarchical Clustering | Day 54