Machine learning starter

Machine learning starter

ABOUT

Machine Learning Starter is a collection of fast fundamental machine learning practice sets in Python that I designed and created. There’s a total of 18 regression, classification, and clustering problems in this project.

It aims to help someone get started fast and gain a high-level understanding of the fundamental steps in the machine learning lifecycle early on.

After completion, someone will have built intuition over the machine learning lifecycle.

DOMAINS / APPLICATIONS

Price prediction, fraud detection, patient classification, customer segmentation

TOOLS

Python, sci-kit learn, NumPy, Seaborn

TECHNIQUES

Linear regression, KNN, decision tree classifier, SVM, random forest, K-means

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