A repository related to datasets for Machine Learning.

Link to tutorial blogs: https://medium.com/machine-learning-101

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

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

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

K Nearest Neighbors Classifier

https://medium.com/machine-learning-101/k-nearest-neighbors-classifier-1c1ff404d265

Random Forest Classifier

https://medium.com/machine-learning-101/chapter-5-random-forest-classifier-56dc7425c3e1