🎥 Machine Learning Documentary

Welcome to the Machine Learning Documentary project, a collaborative effort between Prajna EP and Mohammed Dayyan. This project is dedicated to providing a comprehensive introduction to the world of Machine Learning (ML) using Jupyter Notebooks. We aim to explain the core concepts of ML, explore key algorithms, and present real-world use cases.

📚 Project Overview

Our documentary will take you on a journey through Machine Learning, including:

🔹 Introduction to Machine Learning

• What is Machine Learning?
• Importance of ML

🔹 Types of Machine Learning

We will cover the two major types of Machine Learning:

1. Supervised Learning:
   • Algorithms: Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines (SVM), etc.
   • Use cases: Predicting outcomes based on labeled data.
2. Unsupervised Learning:
   • Algorithms: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), etc.
   • Use cases: Discovering hidden patterns in data without labels.

🔹 Popular Machine Learning Algorithms

We will dive deep into the working principles, applications, and pros/cons of popular algorithms under both supervised and unsupervised learning.

🔹 Real-World Applications

Discover how ML is applied in real-world scenarios across industries like healthcare, finance, e-commerce, and more.