Prerequisites to Machine Learning: A Beginners Guide

person icon Dr. Hesam Akhtar

Prerequisites to Machine Learning: A Beginners Guide

Learn all the prerequisites to get into learning the concepts of machine learning

updated on icon Updated on Dec, 2023

language icon Language - English

person icon Dr. Hesam Akhtar

architecture icon Machine Learning,Data Science,Development

Lectures -15

Resources -13

Duration -2 hours


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Course Description

Hello Machine Learning Enthusiasts!

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


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 (Basics 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.


What will you learn in this course:

  • Basics of Python programming useful for machine learning

  • Basics of Statistics useful for machine learning

  • Importing module and packages for machine learning

  • About the data set, which is important to implement machine learning


What are the prerequisites for this course?

  • Need only basics of computer.

  • Need only high school mathematics.

  • No programming experience needed.
Prerequisites to Machine Learning: A Beginners Guide


Check out the detailed breakdown of what’s inside the course

Section-1: Introduction
4 Lectures
  • play icon Course Overview 01:36 01:36
  • play icon Meet Your Instructor
  • play icon Introduction to Machine Learning 03:20 03:20
  • play icon Google Colab Notebook 04:13 04:13
Section-2: Python for Machine Learning
4 Lectures
Section-3: Packages and Statistics for Machine Learning
7 Lectures

Instructor Details

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Dr. Hesam Akhtar

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