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Data Mining Projects

Listing of projects I completed related to data mining as part of the Data Mining course, with links to the implementation repositories. Each project includes a notebook with the complete algorithm implementation, covering exploratory data analysis, model training, evaluation, and result interpretation. Additionally, each project is accompanied by a paper in IEEE format, with description of all aspects.

1. Principal Component Analysis 🌾

Project: Insights in Wheat Seed and Irish Flower Data Through PCA

Analysis implementing PCA for dimensionality reduction on wheat seed and iris flower datasets. The project demonstrates effective feature extraction and visualization of high-dimensional agricultural data.
GitHub

2. Decision Trees 💵

Project: Decision Tree Model for Banknote Verification

Development of a robust decision tree classifier for detecting counterfeit banknotes. The model processes various banknote measurements to determine authenticity with high precision.
GitHub

3. Naive Bayes Classification ❤️

Project: Predictive Analysis of Heart Disease

Implementation of a Naive Bayes classifier for heart disease prediction. The project processes medical data to assess disease risk factors and provide probabilistic health insights.
GitHub

4. K-Nearest Neighbors 💧

Project: Water Quality Prediction Using KNN

An application of the KNN algorithm for water quality assessment. The model analyzes multiple water parameters to predict potability, demonstrating practical use of nearest neighbor classification.
GitHub

5. Artificial Neural Networks ✍️

Project: Handwritten Digit Classification

A from-scratch implementation of an Artificial Neural Network for the MNIST dataset. The project includes complete forward and backward propagation mechanisms for digit recognition.
GitHub

6. K-means Clustering 🖼️

Project: Lake & Granite Image Segmentation

Application of k-means clustering for advanced image processing. The project successfully segments different regions in lake and granite images, showcasing unsupervised learning techniques.
GitHub

7. Decision Tree Algorithms 🌳

Project: ID3 and C4.5 Implementation
Custom implementation of ID3 and C4.5 decision tree algorithms from scratch. The project includes a comparative analysis of both algorithms using an educational dataset for college admissions.
GitHub

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All of my projects from data mining class along with reports

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