FREE FULL COURSE Python for Machine Learning: The Complete Beginner’s Course

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You can learn how to make machine learning algorithms in Python for both students and professionals.

What you’ll learn

Python for Machine Learning: The Complete Beginner’s Course

Python programming and Scikit learn can be used to do machine learning regression.

Understand why simple and multiple linear regression methods work the way they do.

In this lesson, you will learn how to solve regression problems (linear regression and logistic regression).

Use sklearn to learn about logistic regression and how to do it in practice.

Learn about the math that goes into decision trees.

Learn about the different ways to cluster things.

Requirements

Experimentation with the basics of Python

Readiness, adaptability, and a love of learning.

Math skills that are basic.

Description

Google, Amazon, and Udemy use machine learning and artificial intelligence (AI) to figure out what to do with huge amounts of data. This machine learning course will teach you the basics. They make an average of $120,000 a year, and that’s just the norm!
People who work with data are already good at being attractive. When there is a lot of competition for jobs, it’s hard to keep them after they’ve been hired. People who have a unique mix of scientific training, computer skills, and analytical skills are hard to find.
Modern-day data scientists are expected to have the same skills as Wall Street “quants” from the 1980s and 1990s as they did in the 1980s and 1990s. Investment banks and hedge funds were popular places for people who knew a lot about physics and math in the past. They could come up with new algorithms and data methods.
Data science, on the other hand, is becoming one of the best jobs for making money in the twenty-first century. The need for data scientists has been growing in the job market over the last few years.
It has been hard to get hold of, on the other hand.
Once you get your hands on the code, you can play with it and build on it. This class focuses on how to use these algorithms in the real world, not how to understand them in a theoretical or academic way.
You’ll leave each video with a new idea that you can use right away!
All skill levels are welcome in this class, and even if you have never done any statistical work before, you will be able to do well.

Who this course is for:

Anyone who wants to work in Machine Learning.

Any Python programmer who wants to learn more about machine learning.

Techies who want to know how Machine Learning works in the real world.

Programmers who want to learn more about machine learning and want to get better at it.