A Streamlit application to play with machine learning models directly from the browser

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Cyber-attack classification in the network traffic database using NSL-KDD dataset

A detailed look from seven different classification algorithms.

Streamlit application to classify cancer as malignant or benign.

An exercise repository for classification with iris dataset

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

Another repository for trying out machine learning algorithms for classification

An intelligent music mood analyzer that decodes the emotional essence of songs through advanced machine learning. By analyzing six key audio features, this system achieves remarkable 95%+ accuracy in classifying music into four distinct emotional categories. Perfect for creating emotionally intelligent playlists, music recommendation systems.

This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.

A Python GUI project to compute the results of Data Mining Classification Algorithms: Naive Bayes & ID3 Decision Tree.

LENS: Learning ENSembles using Reinforcement Learning 2017 (v1.0)

This project aims to develop a machine learning model that can accurately classify an individual's credit score between ["Good", "Standard","Poor"]. The model was trained using a supervised learning algorithm, Random Forest, on a dataset of credit score data.

Nursery Admission Prediction uses Machine Learning classification algorithms to categorize whether the candidate is priority, recommended or not recommended to be admitted.