Machine Learning with Python – Udemy Projects

This repository contains hands-on machine learning projects implemented while following a Udemy course on Machine Learning with Python.

📚 Topics Covered

• Linear Regression
• Logistic Regression
• K Nearest Neighbors
• K-Means Clustering
• Decision Trees and Random Forests
• Support Vector Machines
• Principal Component Analysis
• Recommender Systems
• Natural Language Processing
• Neural Nets and Deep learning
• Big Data and Spark with Python

🗂 Repository Structure

Each folder corresponds to a course section and contains a Jupyter notebook implementing the project of the algorithm learned.

🛠 Tools & Libraries

• Python
• NumPy
• Pandas
• Matplotlib / Seaborn
• Plotly / Cufflinks
• Geographical Plotting
• Scikit-learn
• Tensorflow

🚀 How to Run

1. Clone the repository
2. Install dependencies

   pip install -r requirements.txt