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Overview
A complete Beginner to Advance level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts What you'll learn: Understand and implement a Decision Tree in Python Understand about Gini and Information Gain algorithm Solve mathematical numerical related decision trees Learn about regression trees Learn about simple, multiple, polynomial and multivariate regression Learn about Ordinary Least Squares Algorithms Solve numerical related to Ordinary Least Squares algorithm Learn to create real world predictions and classification projects Learn about Gradient Descent...
Syllabus
- Introduction
- Introduction to Machine Learning libraries of Python [Data preprocessing]
- Decision Trees [ Information Gain and GINI impurity ]
- Linear Regression [Simple, Multiple and Polynomial Regression]
- Multivariate Linear Regression
- Logistic Regression
Instructor
Sachin Kafle
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