SarCode / ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

scikit-learn apriori-algorithm artificial-neural-networks classification-methods heirarchical-clustering kmeans-clustering knearest-neighbor-algorithm kernel-pca kernel-svm logistic-regression natural-language-processing polynomial-regression random-forest decison-trees svm svr ucb

Introduction

Tutorials and Code for Machine Learning taken from Udemy

Getting Started

Tutorials can be found here

To download ML code on your machine:
git clone https://github.com/SarCode/ML-Code-Tutorials-Udemy.git

Important

To find a suitable algorithm for your dataset use this cheat-sheet

About

Complete Tutorial Guide with Code for learning ML

scikit-learn apriori-algorithm artificial-neural-networks classification-methods heirarchical-clustering kmeans-clustering knearest-neighbor-algorithm kernel-pca kernel-svm logistic-regression natural-language-processing polynomial-regression random-forest decison-trees svm svr ucb

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Language:Python 100.0%