🧠 Machine Learning Projects Repository

Welcome to my repository featuring various machine learning projects! 🚀

This repository contains different tasks solved using classification, clustering, and ensemble methods. Each project is implemented in Jupyter Notebook with a detailed explanation of the applied algorithms.

📂 List of Projects

• 🔢 MNIST with Ensembles
• 🚗 Car Classification
• 💰 Loan Approval with Bagging and Boosting
• 🧠 Mental Health with CatBoost
• 🎵 Music Genre Classification with LogReg, SVM, KNN
• 🐧 Penguins Clustering (K-Means, DBSCAN, Agglomerative)
• 🍷 Wine Clustering

📌 Project Descriptions

🔢 MNIST with Ensembles

Classification of handwritten digits from the MNIST dataset using ensemble methods (Bagging, Boosting, Stacking).

🚗 Car Classification

Classification of cars based on various features using machine learning techniques.

💰 Loan Approval with Bagging and Boosting

Predicting loan approvals using ensemble methods: Bagging and Boosting.

🧠 Mental Health with CatBoost

Predicting mental health issues based on data using the CatBoost algorithm.

🎵 Music Genre Classification with LogReg, SVM, KNN

Determining music genres using Logistic Regression, SVM, and k-Nearest Neighbors.

🐧 Penguins Clustering (K-Means, DBSCAN, Agglomerative)

Clustering penguins using K-Means, DBSCAN, and Agglomerative Clustering.

🍷 Wine Clustering

Analysis and clustering of wine beverages based on various characteristics.

🔧 Installation and Usage

1. Clone the repository:

   git clone https://github.com/sovunia-hub/machine-learning.git

2. Open Jupyter Notebook and run the project of your choice.

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📩 If you have any questions or suggestions, feel free to contact me!