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sandipanpaul21 / Clustering-in-Python

Star 134

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

python clustering gaussian-mixture-models clustering-algorithm dbscan kmeans-clustering clustering-evaluation hierarchical-models hierarchical-clustering dbscan-clustering kmeans-algorithm clustering-coefficient clustering-validation clustering-methods dendogram dbscan-algorithm kmeans-analysis dbscan-clusters dbscan-clustering-algorithm k-mode
  • Updated Aug 7, 2024
  • Jupyter Notebook

AnthonyKorie / Predictive-Analytics-and-Recommendation-Systems-in-Banking

Star 6

This project focuses on predicting Loan Defaults using Supervised Learning, Segmenting Customers with Unsupervised Learning, and Recommending Bank Products through a Recommendation Engine.

python numpy scikit-learn pandas seaborn logistic-regression matplotlib svd decision-tree-classifier kmeans-clustering gradient-boosting surprise-python random-forest-classifier knn-classifier kmeans-clustering-algorithm surprise-library dbscan-clustering-algorithm
  • Updated Mar 5, 2026
  • Jupyter Notebook

MohamedSebaie / Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Star 2

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

python algorithm algorithms clustering machine-learning-algorithms kmeans unsupervised-learning-algorithms dbscan kmeans-clustering dbscan-clustering kmeans-algorithm unsupervised-machine-learning unsupervised-clustering meanshift kmeans-clustering-algorithm dbscan-algorithm dbscan-clusters dbscan-clustering-algorithm kmeansclustering meanshift-clustering
  • Updated Jul 22, 2021
  • Jupyter Notebook

cgatama / Machine-Learning-with-Python

Star 2

Machine Learning (ML) by using Python

linear-regression scikit-learn machine-learning-algorithms scipy logistic-regression decision-trees clustering-algorithm decision-tree-classifier non-linear-regression classification-algorithm supervised-machine-learning unsupervised-machine-learning k-means-implementation-in-python k-means-clustering k-nearest-neighbors dbscan-clustering-algorithm simple-regression hierachical-clustering
  • Updated Dec 20, 2022
  • Jupyter Notebook

mayank0rastogi / MACHINE-LEARNING-ALGORITHMS

Star 2

This Repository Contains Different Machine Learning and Important Concepts

linear-regression logistic-regression knn decision-tree-classifier classification-algorithm dbscan-clustering arima-model decision-tree-regression agglomerative-clustering dbscan-clustering-algorithm elasticnetregression randomized-search-cross-validation featureselection elasticnet-regression ploynomialregression handling-imbalanced-data
  • Updated Sep 3, 2021
  • Jupyter Notebook

SecurDrgorP / Network_Anomaly_Detection_GNN

Star 2

This project detects structural network anomalies using a GNN autoencoder. It contrasts this deep learning approach with the classic DBSCAN method. While DBSCAN only uses node features (CPU, RAM), the GNN learns the graph's topology to identify statistically improbable links, proving superior for structural analysis.

deep-learning ml pytorch network-engineering pytorch-geometric gnn dbscan-clustering-algorithm graph-autoencoder structural-anomaly-detection
  • Updated Jan 24, 2026
  • Python

vaitybharati / P31.-Unsupervised-ML---DBSCAN-Clustering-Wholesale-Customers-

Star 1

Unsupervised-ML---DBSCAN-Clustering-Wholesale-Customers. Import Libraries, Import Dataset, Normalize heterogenous numerical data using standard scalar fit transform to dataset, DBSCAN Clustering, Noisy samples are given the label -1, Adding clusters to dataset.

python cluster numpy sklearn pandas cluster-analysis dbscan matplotlib-pyplot dbscan-clustering-algorithm standard-scaler
  • Updated Jun 29, 2021
  • Jupyter Notebook

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