Welcome to "30 Days of Data Science (ML & AI)," a comprehensive program designed to introduce participants to the exciting world of Data Science, along with a touch of web development and version control systems.

While the program is named "30 Days of Data Science," it is important to note that it is not intended to be completed within a strict 30-day timeframe. Rather, it should be viewed as a series of 30 steps toward becoming a skilled data scientist.

Throughout the program, you will encounter a variety of activities, including readings, watching YouTube videos, and completing projects. It is strongly advised that you diligently work through each of these activities, regardless of the time it takes. Some challenges may require 2-7 days or even longer to complete, and that is perfectly normal.

I encourage you to invest your best effort in understanding the foundational concepts before diving into the more advanced and "interesting" aspects. Building a strong understanding of the basics will serve as a solid foundation upon which you can further develop your skills.

Embrace this program as an opportunity to embark on an enriching learning journey. Take your time, absorb the knowledge, and enjoy the process of becoming a proficient data scientist.

By the end of this challenge, participants will know how to:

• Perform data cleaning
• Visualize data properly
• Extract meaningful insights from data
• Select appropriate MachineLearning algorithms for various tasks
• Train Regression models
• Train Classification models
• Evaluate models
• Save your models
• Build ML webapps
• Work with Git and Github.

These and more are a few valuable skills you stand to gain by completing this 30 days challenge.