classification-algorithms

eonu/sequentia

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

dsc-tiu/MLStudyJams2022-23

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)

PradeepThapa/nsl_kdd_classification

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

Devinterview-io/classification-algorithms-interview-questions

🟣 Classification Algorithms interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

Elzawawy/DeftEval

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.

patschris/SeizureDetection

StarlangSoftware/Classification

Machine learning library for classification tasks

StarlangSoftware/Classification-CPP

Machine learning library for classification tasks

stxupengyu/Credit-Data-Analysis

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.

eobi/machine-learning-classification-problem

A detailed look from seven different classification algorithms.

vishvadesai9/Breast_Cancer_Classification

Streamlit application to classify cancer as malignant or benign.

officialarijit/Glaucoma-classification-ML-DL

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

ThecoderPinar/Credit-Card-Fraud-Detection-Project

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. 🚀✨

ralphcajipe/diabetes-prediction

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

RimTouny/Credit-Card-Fraud-Detection

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.

awcasella/Engenharia-Medica-Aplicada-UNIFESP-SJC-EngBio

This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.

caterinado/Machine-Learning-with-Python-The-Best-Classifier

Built a classifier to predict whether a loan case will be paid off or not. Used classification algorithms (k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression). Each result is reported with the accuracy of each classifier (Jaccard index, F1-score, LogLoass)

javiccano/machine-learning-classifiers-dimensionality-reduction-and-applications-in-satellite-imagery

Performance evaluation of different classification and dimensionality reduction strategies, and applications in the classification of the crop type of a set of pixels in a multiband spectral image.

mdbenito/re-classwise-shapley

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

mdepasquale21/ml-classification-exercise

An exercise repository for classification with iris dataset

samujjwaal/Spam-Email-Classifier

Machine Learning Model to classify if emails are spam or non-spam, and identify the specific words which contribute more in classifying an email.

Sarthak-Mohapatra/Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms.

As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms

shayanshabani/MIR-2024-Project

A movie information retrieval system that crawls IMDb data, removes duplicates via LSH, indexes movie details, and retrieves relevant results using Okapi BM25. Features include query-based search, classification, clustering, BERT fine-tuning, a recommender system, and evaluation using metrics like precision and recall.

shubamsumbria/Breast-Cancer-Pred

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

adataschultz/LoanApproval_LendingClub

Predict loan approval by using different variable selection methods

Akawi85/credit_defaulters

The goal of this project is to create a reliable service for banks and other credit card issuance companies that helps to detect clients who will default on the credit repayments given some highlighted features of the client.

Ansu-John/ML-Classification

Build and evaluate classification model using PySpark 3.0.1 library.

bsiegelwax/Quantum-Classification-of-Amplitudes

This is non-optimized code intended solely to test whether or not quantum classification works with amplitude encoding.

jesussantana/Supervised-Classification

Let’s practice and become familiar with classification algorithms.

MiguelCarra/tle-satellite-classifier-python

Proyecto del Máster en Ingeniería de Telecomunicaciones (UAM) sobre clasificación de satélites y debris orbital usando datos TLE y Machine Learning (SVM, RF, XGBoost) en Python.

MohammadvHossein/ML-GYM

The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.

rajneeshvsht/Employee-Turnover-Rate-Prediction

This is a Machine Learning model designed to analyze various factors that contribute to Employee Turnover including job satisfaction, last evaluation, number of projects, average monthly hours, time spent in company, accidents at workplace, promotion in 5 years, department and salary.

Tauseef117/Bank-Loan-Analysis

Model using machine learning algorithms to determine loan approval for customers.

tboudart/Tanzanian-Water-Pumps-Clustering-and-Classification

For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire dataset. Unfortunately, k-means clustering, DBSCAN, hierarchical clustering, nor OPTICS produced well-defined clusters. The entire dataset was therefore used for fitting classification algorithms. The two classification techniques I was responsible for were k-nearest neighbors and stacked generalization ensemble. For the latter, I combined the best models each group member developed. All the models had a hard time predicting the functional but need repair class. My best model was only able to achieve an accuracy of 76%.

Tirth8038/Email-Spambase-Classification

Task : Build a classification model which will be able to distinguish between spam/not spam.