🤖 Machine Learning with Python

This intermediate-to-advanced course covers core machine learning techniques, project workflows, and real-world modeling using Python, Scikit-learn, and Jupyter.

📘 What You'll Learn

• Supervised learning (regression, classification)
• Unsupervised learning (clustering, PCA)
• Model evaluation & selection (cross-validation, metrics)
• Feature engineering and pipelines
• Hands-on projects using Jupyter Notebooks

🧠 Course Format

• 🖥️ Video Lessons & Quizzes
• 📂 Downloadable Notebooks
• 🎓 Capstone project: Predicting customer churn

📌 Requirements

Basic knowledge of Python, Pandas, and NumPy is expected.

Start with Toolkits →