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GitHub topics: kernelpca

ShivaNeuralNet/-Airline-Passenger-Satisfaction-Unsupervised-Learning-Project

Unsupervised learning project to cluster airline passengers based on satisfaction using KMeans and PCA. Includes feature engineering, visualization, and cluster evaluation.

Language: Jupyter Notebook - Size: 993 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Albertsr/Machine-Learning

LR / SVM / XGBoost / RandomForest etc.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 26 - Forks: 10

y656/Weather-data-clustering

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

Language: Jupyter Notebook - Size: 241 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

AvijitChowdhury/Machine_Learning

Language: Jupyter Notebook - Size: 176 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0