Welcome to the Python for Machine Learning course! 🧠 This program is designed to help you master Python programming for building intelligent systems and data-driven models.
📘 Course Overview
- Duration: 8 weeks
- Prerequisites: Basic Python knowledge (e.g., syntax, data structures)
- Key Topics:
- Python fundamentals for data science
- NumPy, Pandas, and Matplotlib for data manipulation & visualization
- Scikit-learn for classical machine learning algorithms
- TensorFlow/PyTorch for deep learning (optional advanced modules)
- Real-world projects: predictive analytics, image recognition, NLP
🧩 What You'll Learn
- Clean and analyze datasets with Pandas
- Build regression and classification models
- Optimize hyperparameters using GridSearchCV
- Visualize results with Matplotlib/Seaborn
- Deploy models via APIs (bonus module)
📚 Recommended Resources
- Python Documentation 📚
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 📘
- Kaggle: Machine Learning Projects 🧪
📸 Visual Aids
For hands-on practice, explore our Interactive Coding Challenges 🧠💻!