Learn Python with Google Colab – A Step to Machine Learning

Hands on course in python basics with Google Colab, a step towards Machine Learning

What You will Learn

  • Basics of Python
  • Data types
  • Printing output
  • If-Else conditions
  • Looping using for, while
  • Arithmatic operations
  • Working with functions
  • Working with List and Arrays
  • Performing action on List
  • Tuple, Set and Dictionary
  • Working with packages
  • Hands-on with Class

Description


This course is completely practical based and is per-requisite for our upcoming Machine Learning course. With around 25 lectures, this course is designed in such a way that you can take spark of Google Colab enabling Jupiter notebook , the best platform to practice Machine Learning  and is enriched with all the basic concepts that is required to start with python programming. After completing this course, you should have basic python understanding.

Who this course is for:

  • Beginner and Intermediate

Requirements

Basic programming concepts are sufficient


Course Content

10 sections • 25 lectures • 1h 40m total lengthCollapse all sections

Introduction

  • Introduction
  • Introduction to Google Colab

Basic Python Concepts

  • Working with Variables and Datatypes
  • Use of “ls” command

Arithmatic Operation in Python

  • Basic Arithmatic Operations
  • Arithmatic Operation Continue..

Conditioning and Looping

  • IF-ELSE Condition
  • For Loop
  • While Loop

Working with Methods

  • Creating and Calling Methods
  • Creating Method with no return type

Working with List and Arrays

  • Creating a List
  • Fetching items from List
  • Modifying items in list
  • Copying item from parent list to child list
  • Merging List

Tuple, Set and Dictionary

  • Introduction to Tuple, Set and Dictionary
  • Working with Tuple
  • Working with Set
  • Dictionary in Python

Working with Class and Package

  • Introduction and Quick recap
  • Importing packages
  • Creating your own class

Thank you Note

  • Thank you Note

Downlable Resource

  • Download practice notebook



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