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34 repositories
- π©π»βπ 1-Data Miining Main Repo -focusing on unsupervised learning methods (clustering, PCA, dictionary learning, anomaly detection) applied to real-world projects for third-sector organizations. Results are shared publicly in open repositories and community platforms.
Limits-Calculus-I
Public- π©π»βπ 15- Data Mining Hands-on project exploring clustering techniques (K-Means, Mean-Shift, DBSCAN) with data cleaning, visualization, and method comparison
- Integrated Mathematics Projects - LOGISTICS, FINANCE, CREDIT, ENGINEERING, HEALTH AND OTHERS
statistical-measures
PublicThis repository contains a statistical analysis of customer service ratings for Biscobis Ltd- πΆ Quantum 4 All - Research and Exploration in the Field of Quantum Computing
Gallactica-LLM-Science
PublicQuantum-Hardware
PublicThis repository contains a curated set of educational Jupyter notebooks aimed at introducing the fundamentals of Quantum Hardware. Developed as part of the bqb Quantum Youth initiative, these beginner-friendly resources blend theory with learning on real and simulated quantum processors.- π©π»βπ 14-DataMining - DBSCAN and Spectral Clustering
- π©π»βπ 12- Data Mining Hands-on project exploring clustering techniques (K-Means, Mean-Shift, Affinity Propagation) with data cleaning, visualization, and method comparison
- π©π»βπ 5-Data Mining - Data Cleaning, Preparation and Detection of Anomalies (Outlier Detectio
- 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
- π©π»βπ 11-Data Miining -Affinity Propagation Algorithm - This repo shows how Affinity Propagation performs unsupervised clustering by finding exemplars automatically β no need to set the number of clusters like K-Means. It uses message passing between data points and includes code, K-Means comparison and Silhouette Score evaluation
calculus2-Integrals
PublicβοΈ Calculus II - Basic Function Integrals10-DataMining_MeanShift
Publicπ©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.- π©π»βπ 9- Data Mining Hands-on project exploring use of the KMeans Algorithm Presentation
- π©π»βπ 7-Data Minining - Regression Techniques with Data Integration
qiskit
Public- π A comprehensive course on Gaussian Processes and Bayesian Optimization, covering theory, implementation, and real-world applications.
- π©π»βπ 8-Data Mining Prediction - Comprehensive K-Means clustering tutorial with step-by-step Python implementation, including normalization, elbow and silhouette methods, cluster visualizations and applications in image segmentation, Monkey analysis, and other clustering tasks.
- π©π»βπ 6- Data Mining - Pre Processing and Data Cleaning
- π©π»βπ 3- DataMining - Statistical Review - Variation Measures and Standard Deviation
- This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.
Tesseract
PublicQ-Star
Public