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.

This is the repository for all the resources (code, notes and guides) used during the ML Study Jams 2022-23 program hosted at GDSC-TIU. (Maintainer: Aryan Pareek @diffrxction)

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

🟣 Classification Algorithms interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.

Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.

Machine learning library for classification tasks

Machine learning library for classification tasks

This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨

实现对信贷数据的数据预处理，数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.

Streamlit application to classify cancer as malignant or benign.

A detailed look from seven different classification algorithms.

Glaucoma and Non-Glaucoma classification using ML/Dl and ensemble approaches using Image Feature Extraction Using HOG (Histogram of Gradient)

Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

A Python-powered ML toolkit featuring a Decision Tree builder and Naive Bayes classifier implemented from scratch. Supports attribute selection using Entropy (ID3) and Gini Index (CART), with custom metric calculations, recursive tree construction, and Graphviz-based visualization for decision boundaries and probabilistic classification.

8 Classification Algorithms in Machine Learning with Python using the Early stage diabetes risk prediction dataset

Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

An exercise repository for classification with iris dataset