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Machine Learning Introduction

• What is Machine learning
• Introduction to types of ML algorithm
• Supervised vs unsupervised learning
• Classification vs régression
• Python Data types
• Loops and Functions

Python Data-Types

• Numbers – Integer, Float, Complex Numbers
• Boolean
• String, String operations and Methods
• Lists Methods
• Tuples
• Sets
• Dictionaries

Preprocessing

• Importing a dataset in python
• Solving Missing Values
• Managing Category Variables
• Training and Testing Datasets
• Normalizing Variables
• Normalizing Variables – Code
• Summary

Regression

• Simple Linear Regression
• Multiple Linear Regression
• Decision Trees
• Random Forest
• Decision Trees and Random Forest – Python Implementation

Classification

• kNN – How it works?
• kNN – Python Implementation
• Decision Tree Classifier and Random Forest Classifier in Python
• SVM – How it works?
• SVM – Language Implementation

Machine Learning Implementation

• Implementation of all the algorithms regarding major project