Machine Learning – Regression and Classification (math Inc.)
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
-
Learn about Logistic Regression and hyper parameters
Who this course is for:
- Seasonal and Beginners Python developers who want to learn about different AI and ML algorithms
- Students who want to learn all the mathematics behind popular regression and classification models
- Students who want to learn to implement data science libraries to solve real world Machine Learning problems
