An open API service indexing awesome lists of open source software.

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/das-debjit/emotion-detection

A simple ML-powered web app for real-time emotion detection from text using Streamlit and TF-IDF-based classification.

machine-learning nlp python scikit-learn sentiment-analysis streamlit text-classification tfidf web-app

Last synced: 30 Apr 2026

https://github.com/rokuu010/boxing-match-predictor

Machine learning project to predict the outcomes of pro boxing matches using Dataset/web-scraped data

boxing data-science machine-learning prediction-model python scikit-learn selenium sports-analytics

Last synced: 30 Apr 2026

https://github.com/sayed-ashfaq/delhivery-dataanalysis

In this project, I conducted basic analysis, feature engineering, normalization, and outlier handling, along with statistical and non-parametric testing to extract insights.

feature-engineering normalization outlier-detection pandas python scikit-learn statistcal-tests statistical-analysis

Last synced: 30 Apr 2026

https://github.com/fikri-rouzan/student-stress-levels-classification

Proyek pemodelan machine learning untuk mengklasifikasikan tingkat stres mahasiswa berdasarkan parameter input akademik dan psikologis.

joblib jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 08 Jun 2026

https://github.com/samuelpillai/machine-learning-classification-regression-nlp

A curated collection of machine learning mini-projects covering classification, regression, and natural language processing (NLP). This project demonstrates model training, evaluation, feature engineering, and pipeline integration using real-world datasets and Python tools like Scikit-learn, pandas, and NLTK.

classification data-analysis data-science data-visualization feature-engineering jupyter-notebook machine-learning ml-pipeline model-evaluation nlp python regression-models scikit-learn supervised-learning text-mining

Last synced: 30 Apr 2026

https://github.com/fbarffmann/credit-risk-classification

Classified 19,000+ loans as high-risk or healthy using logistic regression. Achieved 100% precision for healthy loans and 84% precision for high-risk loans.

classification credit-risk data-analysis logistic-regression machine-learning model-evaluation pandas python scikit-learn

Last synced: 30 Apr 2026

https://github.com/fadlani-aditya/iris-plant-classification

This project focuses on classifying different species of Iris flowers using the Random Forest algorithm. The dataset, sourced from Scikit-learn, contains four key features: sepal length, sepal width, petal length, and petal width, which are used to predict the flower species (Setosa, Versicolor, and Virginica).

agriculture data-science iris-dataset machine-learning python scikit-learn supervised-learning

Last synced: 01 May 2026

https://github.com/arturovaine/n8n-nodes-sklearn

Custom n8n nodes for integrating scikit-learn machine learning algorithms into your n8n workflows.

machine-learning n8n n8n-nodes scikit-learn sklearn

Last synced: 08 Jun 2026

https://github.com/deepthipathlawath20/emotion-recognition-bimodal

Bimodal emotion recognition (face + speech) with feature-level fusion and classic ML classifiers.

audio computer-vision emotion-recognition knn mfcc multimodal navie-bayes-algorithm python scikit-learn svm tensorflow

Last synced: 01 May 2026

https://github.com/antonio-f/housing-simplemlexample

Basic example with California Housing Prices dataset from the StatLib repository using scikit-learn

housing-simplemlexample machine-learning scikit-learn simple

Last synced: 01 May 2026

https://github.com/luthfiwulandari/machine-learning-breast-cancer

This project is a simple application that uses logistic regression to detect breast cancer. It classifies tumors as either malignant or benign based on the dataset provided by Scikit-learn.

datascience jupyter logistic-regression machine-learning python scikit-learn

Last synced: 01 May 2026

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 02 May 2026

https://github.com/sundanc/btcprediction

Predict Bitcoin prices based on historical data using machine learning techniques

bitcoin-prediction keras machine-learning pandas python python3 scikit-learn scikitlearn-machine-learning

Last synced: 02 May 2026

https://github.com/pierrekieffer/datapreprocessing

Custom data preprocessing library made for machine learning

data-preparation data-preprocessing machine-learning preprocessing scikit-learn

Last synced: 02 May 2026

https://github.com/rohitinu6/tesla-price-prediction

A machine learning project that predicts future stock price movements using Logistic Regression, SVC, and XGBoost with engineered financial features.

data-analysis data-visualization feature-engineering financial-analysis logistic-regression machine-learning matplotlib python scikit-learn seaborn stock-market stock-price-prediction support-vector-machine time-series xgboost

Last synced: 03 May 2026

https://github.com/zhenglinlei/zdmp

Industry 4.0 Optimization with Machine Learning AI

industry-4 knn-classification machine-learning pandas python scikit-learn

Last synced: 03 May 2026

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/atchayaah/home-value-insights-kc

Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.

joblib matplotlib numpy pandas pickle python scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/samarth4023/shell-internship-2

🤖 AICTE Shell Internship - NLP Chatbot This repository contains the implementation of a Chatbot using NLP, developed as part of the AICTE Shell Internship. The chatbot is designed to understand and respond to user queries using Natural Language Processing (NLP) techniques.

ai artificial-intelligence chatbot natural-language-processing nlp nltk python scikit-learn streamlit

Last synced: 04 May 2026

https://github.com/danielwohlr/delivery_time_series

Time series forecasting of food delivery service data

forecasting-time-series python scikit-learn

Last synced: 04 May 2026

https://github.com/homebackend/pdf-title-page-splitter

Splits a pdf based on identified title pages using ML trained model

machine-learning opencv pdf-splitter pdf2image pypdf2 scikit-learn tensorflow

Last synced: 04 May 2026

https://github.com/drod75/nyc-arrests-analysis

This is a simple Data Science Project made to analyze and display data and trends found within the NYC Arrests Year to Date Dataset.

data-analysis data-visualization folium jupyter-notebook matplotlib-pyplot nyc-opendata nypd python scikit-learn seaborn

Last synced: 04 May 2026

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 04 May 2026

https://github.com/pierrealexandre78/deathpredict

Predict Hospital mortality rate using Machine Learning for patients admitted in ICU (Intensive Care Unit)

healthcare hospital machine-learning predictions python random-forest-classifier scikit-learn xgboost-classifier

Last synced: 05 May 2026

https://github.com/simpl1fy/spam-classifier-project

A web application to classify spam texts or emails.

multinomial-naive-bayes nltk python render scikit-learn text-classification

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/monish-nallagondalla/universal-bank

Credit Card Ownership Prediction A machine learning project that predicts credit card ownership using features like age and income, balancing class distributions for improved accuracy.

classification-models credit-card-prediction data-analysis data-classification decision-tree-classifier imbalanced-datasets machine-learning model-evaluation python scikit-learn

Last synced: 05 May 2026