Machine Learning with Python Tutorial

Things to be included :

---------------------Basics-----------------------------------

Python Ecosystem

Methods

Data Loading for ML Projects

ML - Understanding Data with Statistics

ML - Understanding Data with Visualization

Preparing Data

Data Feature Selection

--------ML Algorithms - Classification-----------------------

Introduction

Logistic Regression

Support Vector Machine(SVM)

Decision Tree

Random Forest

---------------ML Algorithms - Regression-------------------------

Overview

Linear Regression

-----------ML Algorithms - Clustering------------------------------

Overview

K-Means Algorithm

Mean Shift Algorithm

Hierarchical Clustering

-------------ML Algorithms - KNN Algorithm---------------------------

Finding Nearest Neighbors

Performance Metrics

Automatic Workflows

Improving Performance of ML Models

Improving Performance of ML Model(Contd..)