/14-days-Beginner-Practical-Guide-of-Machine-Learning

14 days Beginner Practical Guide of Machine Learning

14 days Beginner Practical Guide of Machine Learning

Note : All Dataset you can find in github link
Date Algorithm Practical
Day 1 How To Talk About Data in Machine Learning
Day 2 Principle That Underpins All Algorithms
Day 3 Parametric and Nonparametric Algorithms
Day 4 Bias - Variance and the Trade-off
Linear Algorithms
Day 5 Linear Regression github
Day 6 Logistic Regression github
Day 7 Linear Discriminant Analysis github
Nonlinear Algorithms
Day 8 Classification and Regression Trees github
Day 9 Naive Bayes github
Day 10 k-Nearest Neighbors github
Day 11 Learning Vector Quantization github
Day 12 Support Vector Machines github
Ensemble Algorithms
Day 13 Bagging and Random Forest github
Day 14 Boosting and AdaBoost github
Machine learning Mini Course All in One
Reference

https://machinelearningmastery.com/

Note : NLP, DEEPLEARNING are coming soon...!!!