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
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Understand and implement a Decision Tree in Python
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Understand about Gini and Information Gain algorithm
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Solve mathematical numerical related decision trees
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Learn about regression trees
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Learn about simple, multiple, polynomial and multivariate regression
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Learn about Ordinary Least Squares Algorithms
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Solve numerical related to Ordinary Least Squares algorithm
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Learn to create real world predictions and classification projects
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Learn about Gradient Descent
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Learn about Logistic Regression and hyper parameters
Requirements
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Basic mathematical concepts of addition, multiplication and so on
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Knowing python beforehand would be handful
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
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