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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/macromrit/air-flick

Transfer files through the air with just a gesture. Push. Pull. Done.

css cv2 fastapi html js media-pipe peer2peer python random-forest-classifier restful-api scikit-learn websockets

Last synced: 09 Apr 2026

https://github.com/stefagnone/text_adventure_game

A text-based adventure game project using Python fundamentals

matplotlib numpy pandas python r scikit-learn seaborn sql

Last synced: 09 Apr 2026

https://github.com/leftcoastnerdgirl/deep_learning

This project introduces neural networks, deep learning, and Tensorflow.

deep-learning jupyter-notebook neural-networks pandas-python scikit-learn tensorflow

Last synced: 04 May 2026

https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques

Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.

data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/anusha-me/customer_churn_analysis

Predict and analyze telecom customer churn using machine learning techniques and business dashboards. This end-to-end project includes data preprocessing, EDA, model evaluation (SVM, XGBoost), real-time Streamlit deployment, and Power BI dashboard reporting. Built for actionable insights and decision support.

churn-prediction classification-model customer-analytics dashboard data-science eda machine-learning powerbi predictive-analytics python scikit-learn streamlit svm telecom xgboost

Last synced: 29 Apr 2026

https://github.com/mirzaazwad/tymbert

TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy

bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch

Last synced: 09 Apr 2026

https://github.com/subhas-pramanik-09/mediscan-ai

A smart and scalable ML-powered health prediction system that can help detect the risk of three major diseases: Diabetes + Heart Disease + Parkinsons Disease

jupyter-notebook logistic-regression machine-learning numpy pandas scikit-learn streamlit svm-classifier

Last synced: 09 Apr 2026

https://github.com/dhanraj-parigi/diabetes_prediction_app

🩺 A simple and interactive web app that predicts diabetes using 🧠 machine learning. 🚀 Built with Python, Streamlit, and the 🧮 Pima Indians Diabetes dataset.

ai-in-healthcare classification data-science diabetes-prediction health-check healthcare-ai jupyter-notebook machine-learning ml-project pandas python random-forest scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/jain1shh/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 09 Apr 2026

https://github.com/jofaval/ionosphere

Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988

data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost

Last synced: 09 Apr 2026

https://github.com/omdoshi13/pricing-of-laptops-using-ml

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for Pricing of Laptops dataset.

data-analysis data-analysis-project datascience google-colab jupyter-notebook machine-learning matplotlib model-evaluation model-refinement numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/nurulashraf/linear-regression-insurance-premium

This analysis applies simple linear regression to explore the relationship between age and insurance premium. It includes model training, visualisation, and evaluation using MSE and RMSE to assess prediction accuracy.

beginner-project data-analysis insurance-data linear-regression machine-learning matplotlib predictive-modeling python regression-models scikit-learn

Last synced: 05 May 2026

https://github.com/pejpero/machine_learning

This repository contains two comprehensive machine learning projects using scikit-learn, demonstrating ensemble learning with a Voting Classifier and the comparison of linear and polynomial regression models on different datasets.

ensemble-learning linear-regression logistic-regression machine-learning polynomial-regression random-forest scikit-learn svm

Last synced: 09 Feb 2026

https://github.com/praditaw/patient-los-prediction

Predicting patient Length of Stay (LoS) using machine learning to provide insights for hospital operational efficiency.

exploratory-data-analysis feature-engine healthcare-analysis huggingface-spaces hyperparameter-tuning length-of-stay los-prediction machine-learning pandas scikit-learn streamlit

Last synced: 05 May 2026

https://github.com/gerardo1909/proyecto_nba_mvp

Trabajo práctico final de la materia "Introducción al Aprendizaje Automático" de la Licenciatura en Ciencia de Datos (UNSAM). 2C-2023

machine-learning nba notebooks-jupyter pandas python random-forest scikit-learn

Last synced: 03 Oct 2025

https://github.com/impesud/ai-finops-platform

AI FinOps is an AI-powered platform for cloud cost optimization and forecasting. Built with FastAPI, Python, and modern MLOps tools, it allows teams to track multi-cloud usage, detect anomalies, and predict future expenses using real-time data and machine learning.

aws docker fastapi jupyter mlflow python react scikit-learn statsmodels tailwindcss terraform xgboost

Last synced: 09 Apr 2026

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 02 Apr 2026

https://github.com/parag000/content-based-movie-recommender

This project builds a content-based movie recommendation system using the TMDB dataset. By combining metadata features like cast, genres, and directors into a "metadata soup," it calculates movie similarity with vectorizers (Count) and cosine similarity. Ideal for learning content-based filtering and text vectorization techniques.

cosine-similarity countvectorizer recommendation-system scikit-learn tfidf-vectorizer vectorization

Last synced: 18 Apr 2026

https://github.com/giwiro/simple-classifier

Simple TF-IDF + Logistic Regression in scikit learn pipeline

logistic-regression python3 scikit-learn tfidf

Last synced: 01 Jul 2026

https://github.com/sabbadini10/job4you

Job4You is an AI-powered job application assistant that streamlines the entire application process. Built on Angular and Firebase with GPT-4 integration.

angular api ats-optimization cover-letter email-automation firebase jobforall openai-api python resume-builder scikit-learn sheraz sherazhussain sherazhussain546

Last synced: 04 Mar 2026

https://github.com/sahildev23/predictive-modeling

ML pipeline with automated preprocessing, cross-validation, and performance visualization. Achieved 28% accuracy improvement on 100k+ records

classification cross-validation data-science machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/svetlanam/pycon-workshop

Pycon CZ workshop: Better data analyses and product recommendations with Instagram data

data-analysis data-science martinus matplotlib pandas pycon2016 pyconcz python scikit-learn workshop

Last synced: 09 Apr 2026

https://github.com/rajan-bhateja/machine-learning-with-python

Machine learning algorithms implemented using Scikit-learn

classification clustering machine-learning regression scikit-learn sklearn

Last synced: 17 May 2026

https://github.com/lefteris-souflas/ai-fashion

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2

Last synced: 02 May 2026

https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 09 Apr 2026

https://github.com/jofaval/iris-flowers

Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936

classification data-analysis data-science data-visualization google-colab iris-flowers kaggle machine-learning python scikit-learn xgboost

Last synced: 05 Apr 2026

https://github.com/al-shafi-github/deephatedetect-explainable-bengali-abusive-comments-classification-using-transformers-and-llm

This Project aims to train different models that can detect Bengali hate speech on different social media platforms and do a comparative analysis of the models

bangla-nlp nlp nlp-machine-learning python3 regex scikit-learn scikitlearn-machine-learning tabular-data

Last synced: 01 May 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/chengetanaim/customerpersonalityanalysis

Customer Personality Analysis involves a thorough examination of a company's optimal customer profiles. This analysis facilitates a deeper understanding of customers, enabling businesses to tailor products to meet the distinct needs, behaviors, and concerns of various customer types

kmeans-clustering pandas scikit-learn

Last synced: 21 Apr 2026

https://github.com/dragonscypher/feastfinderai

Discover the best dining spots with FeastFinderAI!

folium pandas python scikit-learn sql

Last synced: 09 Apr 2026

https://github.com/ifigeneiatsiflidou/applied-statistics-project

Project for an Applied Statistics course, involving exploratory data analysis and predictive modeling of movie revenue using engineered features and multiple linear regression.

correlation-analysis data-analysis linear-regression python scikit-learn visualization

Last synced: 29 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/bkaracali/crime-data-analysis

Repository for Final Project

machine-learning python scikit-learn

Last synced: 21 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/nazmul-1117/100-days-of-machine-learning

I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah

data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics

Last synced: 11 Aug 2025

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 Apr 2026

https://github.com/hariprasath-v/hackerearth-amazon-business-research-analyst-hiring-challenge

Build a machine learning model that can calculate the time the delivery person takes to deliver the order.

exploratory-data-analysis hackerearth machine-learning pandas pycaret python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/abdellatif-laghjaj/salary-scope-predictor

SalaryScope: Job Salary Predictor is a machine learning solution designed to estimate salaries from job listings. It employs a full ML pipeline from exploratory data analysis, data cleaning, and NLP on job descriptions to regression model training (Linear Regression, Random Forest, etc.) and hyperparameter tuning

data-science developer-survey feature-engineering machine-learning predictive-modeling regression salary-calculator salary-prediction scikit-learn streamlit

Last synced: 08 May 2026

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 02 Apr 2026

https://github.com/bhuvan-s-prasad/-alzheimer-diagnosis

This project predicts Alzheimer’s disease using machine learning with basic MLOps integration for better organization and reproducibility. It includes data processing, model training, evaluation, and deployment, incorporating version control, automation, and experiment tracking as a first step into MLOps.

alzheimers-disease classification eda explainable-ai exploratory-data-analysis machine-learning mlops pandas python random-forest random-forest-classifier regression scikit-learn supervised-learning

Last synced: 09 Apr 2026

https://github.com/zvdy/movie_recommendation

Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets

data-science jupyter-notebook machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/ezeparziale/tweet-clasification

:bird: Tweet sentiment analysis

bootstrap flask nltk python scikit-learn

Last synced: 09 Apr 2026

https://github.com/prakashjha1/customer-segmentation

This repository contains a customer segmentation project implemented in a Jupyter Notebook using Python. Customer segmentation is a crucial strategy for businesses aiming to understand their customer base better, enabling targeted marketing strategies and personalized customer experiences.

clustering-algorithm customer-segmentation kmeans-clustering matplotlib python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/eusha425/housing-market-analysis

Implementation of supervised learning algorithms for real estate price prediction, featuring Ridge Regression optimization, IQR-based outlier detection, and extensive feature engineering. Includes detailed visualizations, statistical analysis, and model performance comparisons using various evaluation metrics.

data-preprocessing data-science exploratory-data-analysis house-price-prediction machine-learning python scikit-learn supervised-learning

Last synced: 09 Apr 2026

https://github.com/amandeep-gupta19/chatbot

Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask

data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader

Last synced: 09 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/radoslawregula/geo-music-classification

Jupyter notebook implementing a classification solution to the geographical origins of music problem.

classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/moritzkoerber/text_analysis_app

A web app that classifies the content of messages that are usually sent during disasters such as earthquakes.

flask machine-learning nltk python scikit-learn

Last synced: 09 Apr 2026

https://github.com/ledsouza/deep-learning-noticias

Este projeto visa construir dois modelos de Machine Learning: um para classificar notícias em diferentes categorias e outro para realizar o autocomplete de texto, prevendo a próxima palavra em uma frase. O conjunto de dados fornecido consiste em notícias de um site de notícias, já pré-processadas e armazenadas em um arquivo CSV.

deep-learning keras machine-learning python scikit-learn tensorflow

Last synced: 08 Mar 2026

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/rinuya/ml-cancer-diagnosis

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 03 Jan 2026

https://github.com/hariprasath-v/zindi_umojahack-india-income-prediction-challenge

Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.

catboost-classifier classification exploratory-data-analysis f1-score matplotlib numpy pandas python scikit-learn seaborn shap zindi

Last synced: 13 Apr 2026

https://github.com/nicolascoiado/mulheres-ti

Este repositório contém um código em Python para analisar a evolução do número de mulheres na área de Tecnologia da Informação (TI) ao longo dos anos. Utilizando pandas para manipulação de dados e scikit-learn para criar um modelo de regressão linear, o objetivo é prever quantas mulheres estarão na TI em 2024 com base em dados históricos.

linear-regression matplotlib pandas python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/alphacrypto246/old-car-price-prediction

The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 09 Apr 2026

https://github.com/emanuel-poblano/stock-market-predictor

An end-to-end Python stock price prediction project that pulls real market data, performs feature engineering, trains a machine learning model, and predicts the next-day closing price of a stock.

matplotlib pandas python scikit-learn yfinance

Last synced: 13 Apr 2026

https://github.com/prakharchoudhary/mlchallenge-2

My submission for machine learning challenge #2, organised by hackerEarth.

adaboost gradient-boosting-classifier jupyter-notebook machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/tasninanika/australian-credit-approval-analysis-svm

This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.

numpy pandas python3 scikit-learn svm-classifier

Last synced: 10 Apr 2026

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/abdullahashfaqvirk/SMS-Spam-Detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 16 Aug 2025

https://github.com/johnnixon6972/cirrhosis-outcomes-prediction

This leverages advanced machine learning techniques to predict patient outcomes for those suffering from cirrhosis. Utilizing a comprehensive dataset from a Mayo Clinic study, this project explores various data imputation methods and class balancing techniques to enhance prediction accuracy.

ai algorithms analytics artificial-intelligence machine-learning ml pandas python3 scikit-learn

Last synced: 13 Apr 2026

https://github.com/djdhairya/football-match-prediction

In this project, we'll predict the winner of football matches in the English Premier League (EPL).

jupyter-notebook machine-learning pandas python3 requests scikit-learn vscode

Last synced: 09 Apr 2026

https://github.com/mathealgou/ml-jobs

This project is a machine learning exercise, the application receives a set of skills from the user and returns a job title that matches the skills entered. It uses the Random Forest algorithm to make the prediction base on a jobs dataset.

machine-learning python random-forest-classifier scikit-learn

Last synced: 23 Jun 2026

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/abidhasanrafi/bioadaptive-eyeml-diagnosis

A state-of-the-art ocular diagnosis tool leveraging biomimetic machine learning to analyze eye movement patterns and predict ocular conditions with clinical-grade accuracy.

eye-tracking ocular-disease-recognition scikit-learn streamlit

Last synced: 16 Aug 2025

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/martingit2/aiportal-ml-service

ML-mikrotjeneste for Aracanix. En Python/Flask-app som trener og serverer XGBoost-modeller for prediktiv analyse. Se README for lenker til frontend og backend.

flask fullstack machine-learning microservices pandas python scikit-learn xgboost

Last synced: 09 Apr 2026

https://github.com/1587causalai/causal-sklearn

Scikit-learn Compatible Causal Machine Learning Library - Based on CausalEngine™

cauchy-distribution causal-inference causal-machine-learning machine-learning python pytorch scikit-learn

Last synced: 17 Aug 2025

https://github.com/bruno-moura24/hand-gesture-ai

Projeto em Python que utiliza OpenCV, MediaPipe e scikit-learn para detectar gestos de mão via webcam e classificá-los como números de 0 a 5 em tempo real.

computer-vision hand-gesture-recognition machine-learning mediapipe opencv python real-time-ai scikit-learn

Last synced: 28 Apr 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 44 Deep Learning 31 General 30 Data Manipulation 29 Model Explanation 27 Reinforcement Learning 24 Optimization 24 Visualization 18 Graph Machine Learning 17 Feature Engineering 17 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Deployment 10 Computer Audition 9 Computations 9 Natural Language Processing 9 Distributed Computing 8 Learning-to-Rank & Recommender Systems 7