Dear all,

Welcome to the Machine Learning and Data Science Bootcamp organised by GDSC IIIT Sri City.

We hope this email finds you well and excited to begin the hands-on sessions of the ML-DS Bootcamp. In order to ensure a smooth and productive experience, we would like to provide you with some guidelines for installing Python, MiniConda, and Jupyter Notebook.

Firstly, we highly recommend that you watch this video tutorial given below on how to install Python and MiniConda on your system. This video will guide you step-by-step through the installation process and ensure that everything is set up correctly.

We highly recommend that you test your installation by creating a new Jupyter Notebook and running some simple Python code.

If you are unable to install Python, MiniConda, and Jupyter Notebook on your system, you may also use Google Colab, a free online platform that allows you to run Jupyter Notebooks in the cloud. However, please note that we recommend installing the software locally, as it will provide you with a smoother and faster experience.

If you face any issues or get stuck during the installation process or while working on the hands-on sessions, please feel free to message us on the ML-DS Bootcamp's doubt channel. We will be available to help you and provide guidance.

Finally, please don't forget to join our classroom using the link below.

This is where we will be posting important announcements, sharing resources, and conducting the doubt sessions.

YouTube Tutorial: https://www.youtube.com/watch?v=XCvgyvBFjyM

Classroom Invitation: https://classroom.google.com/c/NTkxNTc2Nzc2Nzc5?cjc=exonw34

We hope this information is helpful and we look forward to seeing you in the upcoming sessions. If you have any questions or concerns, please do not hesitate to reach out to us.

Day 1 Details

Date & Day: 20-03-23 Monday

Timing: 5:45PM to 7:15PM

Session Name: Basic Python

Venue: Room 115

Topic that will be covered:

• Variables
• Data types
• Control structures (if-else, for loops, while loops)
• Functions
• Lists
• Tuples
• Dictionaries
• File Handling

See you at the venue!