Machine Learning: scikit-learn

Classification: Identifying which category an object belongs to.
Applications: Spam detection, image recognition.
Algorithms: Gradient boosting, nearest neighbors, random forest, logistic regression

Regression: Predicting a continuous-valued attribute associated with an object.
Applications: Drug response, stock prices.
Algorithms: Gradient boosting, nearest neighbors, random forest, ridge

Clustering: Automatic grouping of similar objects into sets.
Applications: Customer segmentation, grouping experiment outcomes.
Algorithms: k-Means, HDBSCAN, hierarchical clustering

https://scikit-learn.org/stable/index.html

Keyword: scikit-learn, tensorflow, AI, ML, Artificial Intelligence