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K-Nearest Neighbors - Wine Dataset.ipynb
K-Nearest Neighbors - Wine Dataset.ipynb
 
 
Decision Tree, Random Forests, and XGBoost - Bank Marketing.ipynb
Decision Tree, Random Forests, and XGBoost - Bank Marketing.ipynb
 
 
K-Means and DBSCAN.ipynb
K-Means and DBSCAN.ipynb
 
 
Logistic Regression and SVM - Credit Card Fraud Detection.ipynb
Logistic Regression and SVM - Credit Card Fraud Detection.ipynb
 
 
LogisticRegression Model - Breast Cancer Dataset.ipynb
LogisticRegression Model - Breast Cancer Dataset.ipynb
 
 
Multi-Linear and Polynomial Regression - Energy Efficiency Dataset .ipynb
Multi-Linear and Polynomial Regression - Energy Efficiency Dataset .ipynb
 
 
Mutual Information Classification - Loan Dataset.ipynb
Mutual Information Classification - Loan Dataset.ipynb
 
 
Mutual Information Regression - Housing Dataset.ipynb
Mutual Information Regression - Housing Dataset.ipynb
 
 
README.md
README.md
 
 

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Machine-Learning

This repository delves into diverse datasets, where each question becomes a guidepost for building and evaluating regression, classification, and clustering models. Prepare to witness the power of machine learning in action, all while gaining a deeper understanding of its practical applications.

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