Founder of Code and Game Academy
Mahesh Sir opens the session with a clear introduction to machine learning — what it is, why it matters, and how it powers everything from recommendation systems to self-driving cars. Students gain a strong understanding of how ML is shaping the future of technology.
Mahesh Sir walks students through setting up a Python environment tailored for machine learning. From IDE installation to managing dependencies, this session ensures students are fully ready to write and run ML code.
Here, Mahesh Sir introduces the core libraries used in ML — such as NumPy, Pandas, Matplotlib, and Scikit-learn. Students will understand the role of each library and how they work together in building powerful ML models.
In this hands-on session, Mahesh Sir builds a basic ML model using real data. Students will see the full process — from loading data and training the model to making predictions — and learn how it all connects.
Mahesh Sir explains how to evaluate an ML model using key metrics like accuracy, precision, and recall. Students also learn basic techniques to improve model performance and understand how to iterate for better results.
To close the session, Mahesh Sir answers live questions, clears doubts, and provides valuable guidance for students looking to dive deeper into the world of machine learning.
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