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14 days Beginner Practical Guide of Machine Learning

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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...!!!

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