machine-learning-101
A repository related to datasets for Machine Learning.
Link to tutorial blogs: https://medium.com/machine-learning-101
Chapter 1
Theory about Naive Bayes https://medium.com/machine-learning-101/chapter-1-supervised-learning-and-naive-bayes-classification-part-1-theory-8b9e361897d5
Coding example: https://medium.com/machine-learning-101/chapter-1-supervised-learning-and-naive-bayes-classification-part-2-coding-5966f25f1475
Chapter 2
Support Vector Machine
Theory : https://medium.com/machine-learning-101/chapter-2-svm-support-vector-machine-theory-f0812effc72 Coding : https://medium.com/machine-learning-101/chapter-2-svm-support-vector-machine-coding-edd8f1cf8f2d
Chapter 3
Decision Tree Classifier
Theory : https://medium.com/machine-learning-101/chapter-3-decision-trees-theory-e7398adac567 Coding : https://medium.com/machine-learning-101/chapter-3-decision-tree-classifier-coding-ae7df4284e99
Chapter 4
K Nearest Neighbors Classifier
https://medium.com/machine-learning-101/k-nearest-neighbors-classifier-1c1ff404d265
Chapter 5
Random Forest Classifier
https://medium.com/machine-learning-101/chapter-5-random-forest-classifier-56dc7425c3e1