This is Algorithm repository of supervised learning and unsupervised learning
-
Updated
Aug 12, 2024 - Jupyter Notebook
This is Algorithm repository of supervised learning and unsupervised learning
π©π»βπ 13-DataMining: Clear, beginner-friendly explanations and hands-on resources on Principal Component Analysis (PCA) and Isolation Forest for Outlier Detection β designed to make unsupervised learning approachable for everyone. β πβ
We will use Python and unsupervised learning techniques to predict whether cryptocurrencies are affected by 24-hour or 7-day price changes. We will perform clustering using K-means and optimize the clusters using Principal Component Analysis (PCA).
ML_Foundations series Part 2 - Intro to Unsupervised learning - PCA (Principal Component Analysis) & KDE (Kernel Density Estimation)
π©π»βπ 10- DataMining- This repo implements the Mean Shift clustering algorithm, which finds clusters by shifting points toward higher density areas without needing a preset number of clusters. It includes implementation code, comparisons with K-Means, and applications like video tracking and face recognition.
Add a description, image, and links to the unsupervisedlearning-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the unsupervisedlearning-algorithm topic, visit your repo's landing page and select "manage topics."