Learn Python with Google Colab – A Step to Machine Learning

Learn Python with Google Colab – A Step to Machine Learning, available at Free, has an average rating of 3.8, with 25 lectures, based on 475 reviews, and has 22683 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner and Intermediate It is particularly useful for Beginner and Intermediate.

Enroll now: Learn Python with Google Colab – A Step to Machine Learning

Summary

Title: Learn Python with Google Colab – A Step to Machine Learning

Price: Free

Average Rating: 3.8

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: Free

Quality Status: approved

Status: Live

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

Who Should Attend

Beginner and Intermediate

Target Audiences

Beginner and Intermediate

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Introduction to Google Colab

Chapter 2: Basic Python Concepts

Lecture 1: Working with Variables and Datatypes

Lecture 2: Use of "ls" command

Chapter 3: Arithmatic Operation in Python

Lecture 1: Basic Arithmatic Operations

Lecture 2: Arithmatic Operation Continue..

Chapter 4: Conditioning and Looping

Lecture 1: IF-ELSE Condition

Lecture 2: For Loop

Lecture 3: While Loop

Chapter 5: Working with Methods

Lecture 1: Creating and Calling Methods

Lecture 2: Creating Method with no return type

Chapter 6: Working with List and Arrays

Lecture 1: Creating a List

Lecture 2: Fetching items from List

Lecture 3: Modifying items in list

Lecture 4: Copying item from parent list to child list

Lecture 5: Merging List

Chapter 7: Tuple, Set and Dictionary

Lecture 1: Introduction to Tuple, Set and Dictionary

Lecture 2: Working with Tuple

Lecture 3: Working with Set

Lecture 4: Dictionary in Python

Chapter 8: Working with Class and Package

Lecture 1: Introduction and Quick recap

Lecture 2: Importing packages

Lecture 3: Creating your own class

Chapter 9: Thank you Note

Lecture 1: Thank you Note

Chapter 10: Downlable Resource

Lecture 1: Download practice notebook

Instructors

Rahul Jha
IT Professional, Blogger and Research Scholar

Rating Distribution

1 stars: 29 votes
2 stars: 21 votes
3 stars: 111 votes
4 stars: 152 votes
5 stars: 162 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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