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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/inclinedadarsh/regression-metrics

A simple jupyter notebook demonstrating how to use different metrics from 'scikit-learn' library.

jupyter-notebook machine-learning notebook scikit-learn

Last synced: 29 Apr 2026

https://github.com/anrsgrl/regressions

This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖

deep-learning linear-regression logistic-regression mahine-learning polynomial-regression regression scikit-learn

Last synced: 29 Apr 2026

https://github.com/pdoup/ml-codes

Python source files and notebooks for the Machine Learning course weekly tasks

machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 29 Apr 2026

https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/henriqueotogami/imersao-dados-3-alura

Terceira edição da Imersão Dados da Alura (03 a 07/05/21). O projeto dessa edição foi inspirado em um desafio do Laboratory Innovation Science at Harvard disponibilizado no Kaggle.

alura bioinformatics data-science drug-discovery google-collab harvard-university imersaodados jupyter-notebook kaggle-challenge laboratory-innovation-science matplotlib pandas python3 scikit-learn seaborn

Last synced: 29 Apr 2026

https://github.com/cego669/dirtycategoriesencoding

Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.

category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd

Last synced: 11 Feb 2026

https://github.com/mertafacan/fertilizer-prediction-kaggle-playground-s05e06

Top 9% in Kaggle Playground Series - Predicting Optimal Fertilizers - Season 5, Episode 6

catboost kaggle kaggle-competition machine-learning optuna scikit-learn xgboost

Last synced: 29 Apr 2026

https://github.com/diestok/bmlb2025

Material for the BMLB2025 course

classification keras learning machine regression scikit-learn

Last synced: 29 Apr 2026

https://github.com/xbants/recommendation-api

🎬 Intelligent movie recommendation system with FastAPI backend, Streamlit frontend, and collaborative filtering ML. Rate movies, get personalized suggestions, and enjoy automatic model retraining.

fastapi machine-learning movie-recommedation python3 scikit-learn streamlit

Last synced: 29 Apr 2026

https://github.com/shahzadmustafa15/credit-card-fraud-detection

Credit card fraud detection using Random Forest with Stratified K-Fold cross-validation and F1-score evaluation.

classification confusion cross-validation f1-score fraud-detection imbalanced-data kaggle machine-learning python random-forest scikit-learn

Last synced: 29 Apr 2026

https://github.com/nikhil-donthusaram/loanapprovalprediction-randomforest

A machine learning web app built using Random Forest Classifier to predict whether a loan will be approved or not based on applicant details. Built with Python, Streamlit, and scikit-learn.

classification jupyter-notebook machine-learning python random-forest scikit-learn streamlit vscode

Last synced: 29 Apr 2026

https://github.com/hexbyte-lab/resumatch

AI-powered resume-to-job matching tool with NLP analysis | Python + Flask + Machine Learning

cosine-similarity flask job-search machine-learning nltk portfolio-project python resume scikit-learn tfidf

Last synced: 29 Apr 2026

https://github.com/tbarlow12/learn-it-your-way

Using Python Flask, I wanted to create a simple web API that allows users to upload a dataset, choose one or more models, store them server side, and then hit an endpoint to get a prediction.

flask machine-learning python scikit-learn tensorflow

Last synced: 29 Apr 2026

https://github.com/jarif87/dna-based-identification-of-e.coli

Django web app predicting E. coli in DNA sequences using a machine learning model, with a responsive interface and client-side validation. Files generated by project.py.

classification django-application dna-sequences html-css-javascript mlp-classifier python3 scikit-learn

Last synced: 29 Apr 2026

https://github.com/abhinav330/instagram-influencers-analysis

This Jupyter Notebook focuses on preprocessing and visualizing data from an Instagram profiles dataset. It includes data loading, inspection, visualization, and some data preprocessing steps.

data data-science data-visualization exploratory-data-analysis exploratory-data-visualizations influncer-products instagram scikit-learn sklearn

Last synced: 08 Jun 2026

https://github.com/jarif87/tune-popularity-app

Flask web app to predict song popularity using CatBoost. Enter five song features for instant predictions. Modern, responsive UI, no CSRF for development.

catboost-classifier eda flask-application matplotlib-python music-classification python scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/sjain2580/simple-linear-regression-model

This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.

joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn

Last synced: 30 Apr 2026

https://github.com/ledsouza/machine-learning-semisupervisionado

Este projeto utiliza algoritmos de aprendizado de máquina semi-supervisionado para classificar a qualidade do leite como alta, média ou baixa.

data-science joblib machine-learning machine-learning-algorithms pandas python scikit-learn

Last synced: 30 Apr 2026

https://github.com/andrewjmack/cryptoclustering

The purpose of this project is to utilize knowledge of Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes. Methods for analysis include K-Means clustering and dimensional reduction through Principal Component Analysis ("PCA").

jupyter-notebook pandas python scikit-learn

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/pramodyasahan/grade-predictor

This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.

machine-learning matplotlib numpy pandas python regression scikit-learn

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/moritzkoerber/tune_preprocessing_algos

Files for this blogpost https://moritzkoerber.github.io/python/tutorial/2019/11/18/blogpost/

cross-validation hyperparameter-tuning machine-learning python scikit-learn

Last synced: 30 Apr 2026

https://github.com/tinaland101/credit-risk-classification

The purpose of this project is to build a credit risk classification model using machine learning techniques. This model helps identify the creditworthiness of borrowers based on historical lending data. Specifically, it uses a logistic regression model to predict whether a loan is healthy (0) or high-risk (1).

numpy pandas pathlib scikit-learn

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/fikri-rouzan/burnaway-capstone-data-science

Dashboard analitik interaktif untuk memetakan faktor fisik dan pola kerja pemicu burnout pada software developer.

jupyter-notebook matplotlib pandas pillow plotly python scikit-learn seaborn statsmodels streamlit

Last synced: 08 Jun 2026

https://github.com/abhivur/connections-ai

Contributors: Meet Gamdha, Gaurav Nimmagadda

bert python scikit-learn word2vec

Last synced: 30 Apr 2026

https://github.com/kumailn/machinelearning

Machine learning with Python

machine-learning python scikit-learn tensorflow

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/boladjivinny/fire-prediction

Notebook for the Fire fighting using data on Zindi. Ranked number 5 on the public leaderboard and 8 on the private leaderboard. https://zindi.africa/hackathons/cmu-africa-fighting-fire-with-data

feature-engineering hackhathon machine-learning regression scikit-learn stacking

Last synced: 30 Apr 2026

https://github.com/themihirmathur/mihir-clickpost-data-science-intern-round-1-assignment-submission

The objective of this project is to predict the predicted_exact_sla, which is the number of days between the shipment and delivery of an order, using historical shipment data.

data-science machine-learning pandas python random-forest-regression 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/abdiasarsene/predictive-churn-management-data-driven-customer

Use unsupervised learning techniques to segment a company’s customers into distinct groups in order to personalize marketing campaigns. To ultimately propose specific marketing strategies for each customer segment based on the insights obtained.

acp kmeans-clustering matplotlib pandas plotly python scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/myahninsi/customer-segmentation-recommendation-ml

This project addressed challenges in understanding customer behavior and personalizing shopping experiences for an e-commerce platform. Developed ML solutions including K-Means clustering for segmentation, Random Forest regression for CLV prediction, and collaborative filtering for product recommendations.

collaborative-filtering k-means-clustering pandas python random-forest scikit-learn

Last synced: 01 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/himanshugoyal77/shell-detection-frontend

Fraud detection of companies using Machine learning and django

django scikit-learn

Last synced: 01 May 2026

https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system

A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode

framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer

Last synced: 03 May 2026

https://github.com/kristishqau/sentimentanalysis_nlp

A project for sentiment analysis of tweets using various NLP techniques and machine learning models.

datascience jupyter-notebook machine-learning nlp nltk python scikit-learn sentiment-analysis xgboost

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/sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction

Last synced: 27 Feb 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/jlee9503/medical-readmission

Conduct an analysis of medical readmission status using hospital patient data and the Social Determinants of Health dataset. Identify key factors influencing readmission rates to provide insights for improving healthcare outcomes.

python random-forest-regression scikit-learn tableau

Last synced: 01 May 2026

https://github.com/dhruvv1402/spam-detection-python-

This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.

countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf

Last synced: 01 May 2026

https://github.com/anastasiaschmidt1/sqli-detection-ml

UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)

bht-berlin machine-learning scikit-learn sqli svm

Last synced: 02 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/dmschauer/aws-sagemaker-deployment-test

I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.

aws boto3 python sagemaker 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/sabin74/fake_news_detection

This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.

fake-news-detection kaggle-dataset multinomial-naive-bayes passive-aggressive-classifier python3 regex scikit-learn

Last synced: 16 Apr 2026

https://github.com/gliuck/diabetesprediction

Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.

machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn

Last synced: 14 Feb 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/hlexnc/project-arepo

Data-driven stroke risk assessment & personalized recommendations, powered by machine-learning and an NLU-driven chatbot.

chatbot data-analysis docker docker-compose machine-learning nlu-chatbot python rasa scikit-learn sklearn streamlit

Last synced: 15 Feb 2026

https://github.com/mgesteban/analyzing_car_prices

A comprehensive data science project analyzing factors that drive used car prices to provide actionable insights for used car dealerships.

crisp-dm data-science lasso-regression linear-regression machine-learning one-hot-encoding pandas ridge-regression scikit-learn

Last synced: 15 Feb 2026

https://github.com/paultheal1en/dsc-fact-checking

Fact-checking project classifying claims as SUPPORTED, REFUTED, or NEI. Uses ANN, DNN, RNN, CNN, Random Forest, PhoBERT, and Sentence Transformers.

deep-learning fact-checking keras machine-learning nlp phobert random-forest scikit-learn sentence-transformers tensorflow transformers

Last synced: 16 Apr 2026

https://github.com/sasanka14/water_quality_predictions

Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀

anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/lorenzorottigni/ml-advertising

Machine Learning python bootcamp: logistic regression on advertising dataset

ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/piotrwnuczek/cloudprediction

Predicting cloud task execution time using AI/ML

matplotlib pandas python scikit-learn

Last synced: 16 Apr 2026

https://github.com/sergeimakarovv/solar-panel-detection

Applying deep learning models to detect solar panel installations in satellite imagery and estimating their generation capacity

albumentations convolutional-neural-networks deep-learning geopandas pandas pvlib python pytorch rasterio scikit-learn wms-service

Last synced: 16 Apr 2026

https://github.com/bishopce16/cryptocurrencies

An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.

hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code

Last synced: 02 May 2026

https://github.com/meiyor/abatech_ai_test

This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.

keras python scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 16 Apr 2026

https://github.com/dan-niles/iris-ml

Machine learning on the Iris dataset

iris-dataset machine-learning scikit-learn

Last synced: 16 Apr 2026

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 27 Mar 2026

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 01 Apr 2026

https://github.com/leftcoastnerdgirl/supervised_learning

This project demonstrates supervised machine learning using scikit-learn.

classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn

Last synced: 16 Apr 2026

https://github.com/sanikamal/deep-learning-atoz

A collection of deep learning architectures ,model, code snippets, tips and mini projects.

computer-vision deep-learning nlp scikit-learn skimage tensorflow

Last synced: 16 Apr 2026

https://github.com/capsuleismail/income-census-prediction

Predict whether annual income of an individual exceeds $50K per annum based on census data. Also known as "Census Income" dataset.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 16 Apr 2026

https://github.com/manjit-baishya-datascience/spam-email-detection

This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.

imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection

Last synced: 12 Feb 2026

https://github.com/grupoguerreroherrera/ethical-ai-recruitment-audit

Bias audit toolkit reproducing the recruitment AI case from Activity 6 — Unidad 3, Electiva II Inteligencia Artificial Avanzada. Empirical analysis with reweighing mitigation, Model Card documentation, and APA 7 references.

academic-project algorithmic-auditing artificial-intelligence bias-mitigation disparate-impact ethical-ai fairness machine-learning model-card python random-forest recruitment-bias reweighing scikit-learn unesco-ai-ethics

Last synced: 03 Jun 2026

https://github.com/sergeimakarovv/energy-data-analytics-ml

Analyzing global data on sustainable energy, predicting CO2 emissions per capita

machine-learning pandas plotly python scikit-learn streamlit

Last synced: 12 Feb 2026

https://github.com/drorata/mnist-examples

ML examples for the MNIST dataset

machine-learning ml mnist python scikit-learn torch

Last synced: 19 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting

An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.

forcasting machine-learning numpy pandas scikit-learn time-series-analysis

Last synced: 17 Apr 2026

https://github.com/ejw-data/proj-food-inspections

Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.

decision-trees pandas preprocessing python scikit-learn

Last synced: 17 Apr 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7