classification-algorithms | Topic

Topic: "classification-algorithms"

ahmedbesbes/playground

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

Language: Python - Size: 5.74 MB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 76 - Forks: 27

eonu/sequentia

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

Language: Python - Size: 43.7 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 64 - Forks: 9

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)

Language: Jupyter Notebook - Size: 4.18 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 40 - Forks: 10

PradeepThapa/nsl_kdd_classification

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

Language: Python - Size: 3.07 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 3

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.

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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.

Language: Jupyter Notebook - Size: 350 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 1

patschris/SeizureDetection

Language: Jupyter Notebook - Size: 198 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

StarlangSoftware/Classification

Machine learning library for classification tasks

Language: Java - Size: 2.03 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 6

StarlangSoftware/Classification-CPP

Machine learning library for classification tasks

Language: C++ - Size: 64.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

vishvadesai9/Breast_Cancer_Classification

Streamlit application to classify cancer as malignant or benign.

Language: Python - Size: 90.8 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 5

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.

Language: Jupyter Notebook - Size: 39.1 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

eobi/machine-learning-classification-problem

A detailed look from seven different classification algorithms.

Language: Python - Size: 206 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

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. 🚀✨

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 3

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)

Language: Jupyter Notebook - Size: 670 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

ralphcajipe/Classification-in-Machine-Learning

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

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shubamsumbria/Breast-Cancer-Pred

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

Language: Python - Size: 4.75 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

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.

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

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

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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.

Language: MATLAB - Size: 102 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

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.

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

aai-institute/re-classwise-shapley

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

Language: TeX - Size: 37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

adataschultz/LoanApproval_LendingClub

Predict loan approval by using different variable selection methods

Language: Jupyter Notebook - Size: 511 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

bsiegelwax/Quantum-Classification-of-Amplitudes

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

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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%.

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jesussantana/Supervised-Classification

Let’s practice and become familiar with classification algorithms.

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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.

Language: HTML - Size: 142 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Tirth8038/Email-Spambase-Classification

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

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Agisthemantobeat/Loan-Repay

We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.

Language: Jupyter Notebook - Size: 113 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 517 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

StfBlanchet/Paris-real-estate-study

Data Science notebooks and report

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clarelgibson/machine-learning-specialization-r

Includes worked examples in R of the machine learning algorithms covered in the Stanford/DeepLearning Machine Learning Specialisation

Language: R - Size: 646 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Bruneez/Machhine_learning Fork of sononesupriya1993/Machhine_learning

This repository showcases a variety of machine learning projects created using Google Colaboratory. It includes implementations of classification, regression, clustering, and time series analysis techniques.

Size: 12.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Arindam-GitH/Music-Mood-Classification-Project

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.

Language: Python - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kkirogod/Bank-Marketing-Dataset

Data mining project carried out on the Bank Marketing Dataset (UCI).

Language: Jupyter Notebook - Size: 938 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

MawadaMhd/Classification

This repository serves as a storage space for classification projects. Organized by projects, each directory houses code files, documentation, and dataset necessary for running and understanding the project. Feel free to explore the projects. Reach out for inquiries, feedback, or collaboration opportiunities.

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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.

Language: Jupyter Notebook - Size: 6.25 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ShahilPatel-IITDh/Phishing-Verification

Repository to store code and study material for the Internship

Size: 3.9 GB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rrambhia22/MotorVehicleCollisionCrashAnalysis

The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rahulg-101/Credit-Score-Classifier

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.

Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0