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


The “Hands-on free udemy Course in Python Basics with Google Colab” serves as a foundational step toward understanding and implementing machine learning concepts. This practical course is geared towards individuals with basic programming knowledge, offering around 25 lectures to equip learners with essential Python skills necessary for machine learning endeavors.

Throughout the course, participants will delve into various fundamental Python concepts, including data types, printing output, conditional statements (if-else), looping structures (for and while), arithmetic operations, and the utilization of functions. Moreover, attendees will explore working with lists, arrays, tuples, sets, and dictionaries, gaining hands-on experience in performing actions on lists and understanding the nuances of these data structures.

A significant focus of the course lies in familiarizing learners with working with packages and classes, vital components for effectively utilizing Python in real-world applications. With Google Colab serving as the primary platform, participants will harness the power of Jupyter notebooks, renowned for its suitability for machine learning experimentation and development.

The course is designed to be accessible to individuals with basic programming concepts, making it suitable for beginners and intermediates alike. By the course’s conclusion, participants should have a solid understanding of Python fundamentals and be well-prepared to embark on further learning ventures, particularly in the realm of machine learning.

The practical nature of the course ensures that learners not only grasp theoretical concepts but also gain hands-on experience, enabling them to apply their knowledge in real-world scenarios. This emphasis on practical learning aligns with the course’s objective of serving as a prerequisite for subsequent machine learning courses, wherein participants will build upon their Python foundation to delve deeper into machine learning algorithms and techniques.

Overall, the “Hands-on Course in Python Basics with Google Colab” provides a comprehensive introduction to Python programming, tailored specifically for individuals aspiring to venture into the field of machine learning. With its practical approach, the course equips learners with essential skills and knowledge, setting them on the path towards mastering Python for machine learning applications.


What You’ll 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



Basic programming concepts are sufficient


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

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