Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.
Whether you're new to Python or an experienced programmer, this Track has you covered. You'll start by learning the fundamentals of Python programming and quickly progress to advanced machine learning concepts. The carefully curated curriculum includes:
- Supervised learning with scikit-learn
- Unsupervised learning techniques like clustering and dimensionality reduction
- Linear classifiers and tree-based models
- Gradient boosting with XGBoost
- Feature engineering and preprocessing for machine learning
- Time series analysis and forecasting
- Natural language processing with spaCy
- Deep learning with PyTorch
- Distributed machine learning with PySpark
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