Free Machine Learning Course: A Complete Beginner to Advance level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts. the details of the Machine Learning course and Machine Learning application process further below in the article.
Table of Contents
Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
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Free Machine Learning Course:
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
- so, Learn about regression trees
- Learn about simple, multiple, polynomial and multivariate regression
- Learn about Ordinary Least Squares Algorithms
- Solve numerically related to Ordinary Least Squares algorithm
- Also, learn to create real-world predictions and classification projects
- Moreover, Learn about Gradient Descent
- Learn about Logistic Regression and hyperparameters
Requirements:
- Basic mathematical concepts of addition, multiplication and so on
- Knowing python beforehand would be handful
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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
This course includes:
- 17 hours on-demand video
- 15 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
How to Subscribe For Machine Learning – Regression and Classification (math Inc.)?
The candidates Interested can join with the further process discussed. Firstly, You have to sign up in Udemy.com then login to udemy so as. You can join the course by the link that is mention below and does not forget to apply the coupon that mentions further.
- Sign Up on Udemy.com
- TO JOIN THE COURSE: Click Here [adcode1]
Apply Coupon Code: 0CB592D876CCED7AB4B7
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