Prerequisites to Machine Learning: A Beginners Guide | Udemy

What you’ll learn
Basics of Python programming useful for machine learning
Basics of Statistics useful for machine learning
To import module and important packages for machine learning
About the data set, which is important to implement machine learning

Hello Machine Learning Enthusiasts!

Are you making the same mistakes that 99% of fresh machine learning students do?

Yes…

Order is important to learn anything. And if you guessed correctly, you realize how important it is to understand certain things before moving on to others.

So, if you are interested to learn Machine Learning, but no idea where to start from, then this course is exactly for you.

This course “Prerequisites to Machine Learning: A Beginners Guide” has been designed in such a way that you will get clear path to move into learning the concepts and implementations of machine learning.

This course is entertaining and interesting, and it covers all the prerequisites to learn Machine Learning. It is organized in the following manner:

Section-1: Introduction

Course Overview

Meet Your Instructor

Introduction to Machine Learning

Google Colab Notebook

Section-2: Python for Machine Learning

Print Statement and Variables

Functions

Range, Lists, Tuples

Importing Modules

Section-3: Packages and Statistics for Machine Learning

NumPy

Pandas

Matplotlib

Mean, Median and Mode

Variance and Standard Deviation

Furthermore, the curriculum is dip with practical exercises. As a result, you’ll not only discover the theory, but you’ll also get some practice.

This course also provides the downloadable resources Python Code, executed on Google Colab Notebook, and Data Set that you can practice or use on your own projects as a bonus.

Who this course is for:
Anyone who is curious about machine learning.
Anyone who isn’t used to coding but is interested in Machine Learning and wants to learn and apply machine learning.
Anyone who doesn’t know the basics of Statistics and Python to get started with machine learning.
Any school or college students interested in pursuing a career in machine learning.

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