Machine learning starter
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
Python, sci-kit learn, NumPy, Seaborn
Linear regression, KNN, decision tree classifier, SVM, random forest, K-means