This repository contains Machine Learning mini projects created by 11th-grade GenAI students as a culmination of their learning after completing a 4-month course on AI and ML algorithms.
📂 What's Inside?
A collection of beginner-friendly ML projects, each focusing on different aspects of Machine Learning, such as classification and regression .
Step-by-step code implementations in Python.
Use cases demonstrating the application of ML in diverse fields like healthcare, finance, e-commerce, and more.
✨ Features
Hands-on experience with popular ML libraries like scikit-learn, pandas, NumPy, and matplotlib.
Well-documented code with explanations and comments to help other learners.
Examples of how to preprocess data, build models, and evaluate performance metrics.
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This repository contains Machine Learning mini projects created by 11th-grade GenAI students.
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