Classical Machine Learning
The models that still win on tabular data, and the unsupervised tools for finding structure without labels.
In this chapter
■□□ Foundations ■■□ Practitioner ■■■ Research- § 1 Decision Trees In preparation Level: Foundations
- § 2 Gradient Boosting In preparation Level: Practitioner
- § 3 Support Vector Machines In preparation Level: Practitioner
- § 4 k-Means Clustering In preparation Level: Foundations
- § 5 Principal Component Analysis In preparation Level: Practitioner
Topics: Decision trees · Boosting · SVMs · k-means · PCA · Formats: Explainers · scikit-learn · Data sheets