![]() Included here: Scikit-Learn, StatsModels.ĭeep learning.The go-to tool for implementing classification, regression, clustering, and dimensionality reduction, while StatsModels is less actively developed but still has a number of useful features. Conceptually, we could define this as any supervised or unsupervised learning task that is not deep learning (see below). Included here: Matplotlib Seaborn Datashader others.Ĭlassical machine learning.Taking data and turning it into something colorful. Included here: Pandas NumPy SciPy a helping hand from Python’s Standardĭata visualization.Where can I learn Python for data science?.How do I learn Python for data science from scratch?.How do I practice coding for data science?.Week 23: Principal Component Analysis (PCA).Week 16: Introduction to Machine Learning. ![]()
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