danish87 / MachineLearning-100days

100 Days of Machine Learning Coding

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