Machine Learning with Python
Dive into the world of Machine Learning using Python, scikit-learn, and TensorFlow. Learn supervised and unsupervised learning algorithms, build predictive models, and solve real data science problems.
What You Will Learn
- Understand core ML algorithms
- Build classification and regression models
- Apply scikit-learn and TensorFlow
- Evaluate and tune ML models
- Deploy models to production
Requirements
- Basic Python programming knowledge
- High school mathematics (algebra, statistics)
- Familiarity with Jupyter notebooks helpful
Syllabus
Week 1-2: Data Preprocessing & EDA Week 3-4: Regression Algorithms Week 5-6: Classification Algorithms Week 7-8: Neural Networks & Deep Learning Week 9-10: Model Deployment & Capstone Project
Sarah Chen
AI/ML researcher with PhD in Computer Science. Specializes in deep learning, NLP, and computer vision applications.
Enroll in this course to access live session recordings.
Enroll — ₵49.99
Exceptional quality. Went from zero ML to building and deploying my own model. Worth every penny.
The best ML course I've found anywhere. Sarah's explanations of gradient descent finally clicked for me. The TensorFlow section is gold.
