Data

Tools

Indexes

Applications

Experiments

Awesome

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/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more

matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/adarshpheonix2810/resume-screening

This project is designed to classify resumes into different job categories based on their content. Users can upload resumes in PDF, DOCX, or TXT format, and the application will predict the category using a pre-trained machine learning model. It aims to enhance the job application process for candidates and recruiters alike.

data-science machine-learning natural-language-processing python resume-classification scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/phonhay103/diabetes_svm

Diabetes Classification with SVM

classification scikit-learn streamlit svm

Last synced: 08 May 2026

https://github.com/busradeveci/student-performance-prediction

A machine learning project to predict student exam performance based on academic, social, and personal features. Built with Python and scikit-learn.

data-analysis kaggle linear-regression machine-learning predictive-modeling python scikit-learn student-performance

Last synced: 25 Apr 2025

https://github.com/psyhackological/heartbeat

:heart: Get your heart racing with HeartBeat! AI-ML project predicts heart disease for a cardio workout for your data and health.

heart machine-learning pandas python scikit-learn

Last synced: 13 Jun 2025

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/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/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/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/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/khushi130404/placemetrix

A machine learning-based placement prediction app using IQ and CQPA as inputs. Built with Python in Jupyter Notebook, leveraging scikit-learn, pandas, and matplotlib.

jupyter-notebook machine-learning matplotlib python scikit-learn

Last synced: 13 Apr 2026

https://github.com/sanchariii/order_amt_prediction

Order Amount Prediction is a machine learning project that predicts customer order amounts based on past behavior. It includes milestones for data cleaning, exploratory data analysis, feature engineering, and model building. The framework can be customized to suit specific needs and provides insights for better decision-making.

jupyter-notebook machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/akashwav/fake-news-detection

📰 A complete NLP project that takes a news dataset, builds a highly accurate classification model, and deploys it as a live web application using Streamlit and GitHub.

data-science fake-news-detection machine-learning nlp nltk pandas python scikit-learn spacy streamlit text-classification

Last synced: 11 Apr 2026

https://github.com/kalpthakkar/jobpilot-ai

JobPilot AI is a next-generation, AI-powered job application and management platform that automates the end-to-end process of job searching, intelligent application submission, and workflow analytics. It combines state-of-the-art AI, ML, NLP, and cloud technologies to deliver a seamless, highly customizable, and extensible solution for job seekers.

artificial-intelligence automation beautifulsoup chromadb fastapi gmail-api jobs langchain llm lxml nlp nltk ollama python3 pywinauto rag scikit-learn selenium sqlite-database

Last synced: 08 Apr 2026

https://github.com/danishtalpur/sentiview-website

SentiView is a sentiment analysis tool designed to analyze and interpret the emotions behind tweets on Twitter. The platform processes textual data from user-generated tweets to determine the sentiment behind them—whether they are positive, negative, or neutral.

css flask html java naive-bayes-classifier scikit-learn twitter-sentiment-analysis

Last synced: 16 Apr 2026

https://github.com/joewlos/fantasy_football_monte_carlo_draft_simulator

Monte Carlo Fantasy Football Draft Simulator Featuring FastAPI, NextUI, and ODMantic

fantasy-football monte-carlo nextjs nextui odmantic pydantic python scikit-learn

Last synced: 13 Apr 2026

https://github.com/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 13 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/santoshn86/dlp-ev-system-for-pa-optimization

This system is a game-changer, enabling smarter energy management through predictive insights and personalized optimization strategies.

aiml django flask keras pytorch scikit-learn tensorflow typescript

Last synced: 13 Apr 2026

https://github.com/adityasreevatsak/smartflow

SmartFlow enhances bike-sharing efficiency by combining deep reinforcement learning with agentic AI. The RL model optimizes bike distribution, while agentic AI coordinates real-time actions, like alerting truck drivers. This scalable approach ensures smart decisions and timely execution for urban transport.

agentic-ai jupyter-notebook keras open-ai-gym pandas python pytorch reinforcement-learning scikit-learn seaborn stable-baselines3 tensorflow

Last synced: 13 Apr 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/1401dev/customer-lifetime-value-prediction

A data science project leveraging Python and Scikit-Learn to build predictive models that estimate customer lifetime value (CLV). Includes data cleaning, feature engineering, and model selection to identify key drivers of CLV, supporting strategic decision-making in customer retention and marketing.

clv clv-analysis customer-retention data-analysis dataprocessing feature-engineering machine-learning marketing-analytics predictive-modeling python regression-analysis scikit-learn

Last synced: 06 May 2026

https://github.com/sorabh-kapoor/face-recognition-attendance-system

The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.

flask flask-application knn ml numpy opencv pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values

data-science machine-learning pandas python scikit-learn

Last synced: 15 Jan 2026

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/apfirebolt/spam_email_classifier

An Email classifier using CountVectorizer and Naive Bayes strategy. PyQt5 is used for GUI

count-vectorizer naive-bayes-classifier pandas pyqt5 python scikit-learn

Last synced: 08 May 2026

https://github.com/muscaanmnmnm/breast-cancer-detector

A predictive model for breast cancer detection using K-Nearest Neighbors, demonstrating the impact of feature scaling on model performance and recall.

breast-cancer-wisconsin data-science feature-scaling jupyter-notebook knn-classification machine-learning pandas-dataframe python-3 scikit-learn

Last synced: 06 Sep 2025

https://github.com/1adore1/deadlock-match-tracker-bot

Telegram bot for tracking real-time Deadlock matches for top 250 players of the leaderboard. Fetches match data and predicts winners using a machine learning model.

aiogram api deadlock optuna pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/vatshayan/pokemon-analysis

Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning

artificial-intelligence data data-analysis data-science data-visualization dataset machine-learning machine-learning-algorithms pokemon scikit-learn

Last synced: 30 May 2026

https://github.com/adrianmarino/knn-cf-rec-sys

Similarity CF based RecSys examples

python recommender-system scikit-learn

Last synced: 08 May 2026

https://github.com/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

Last synced: 13 Apr 2026

https://github.com/grandechowhiskey/fcc-data_analysis-projects

A collection of projects completed as part of the FreeCodeCamp "Data Analysis with Python" certification. These projects cover statistical calculations, data visualization, and trend analysis using real-world datasets.

data-analysis data-visualization matplotlib pandas python3 scikit-learn seaborn

Last synced: 01 May 2026

https://github.com/arindal1/breast-cancer-detection

A simple Neural Network model to detect Breast Cancer.

machine-learning neaural-network scikit-learn tensorflow

Last synced: 13 Apr 2026

https://github.com/otuemre/emailphishingdetection

A real-time phishing email detection system using Machine Learning (SVM, Logistic Regression, Naive Bayes) with FastAPI backend and custom domain deployment.

cybersecurity fastapi huggingface machine-learning nlp real-time scikit-learn spam-detection svm-classifier tfidf-vectorizer

Last synced: 13 Apr 2026

https://github.com/nicolascoiado/nivel-mar

Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.

google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn

Last synced: 11 Mar 2025

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/omar7001-b/data-miner

DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.

data-cleaning data-mining data-preprocessing data-science data-visualization interactive-dashboards pandas python scikit-learn streamlit

Last synced: 28 Apr 2025

https://github.com/nirmaldeepponnada/codeclauseinternshipproject2

Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.

nltk numpy pandas pickle python scikit-learn scipy

Last synced: 07 Apr 2026

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/vishant007/annadataa

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn

Last synced: 13 Apr 2026

https://github.com/ozcankyo28/ds-ml-bootcamp

📊 Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.

data-science datascience jose-portilla lgbm lgbmregressor machine-learning matplotlib-pyplot python regression-models scikit-learn seaborn tensorflow udemy-course-project udemy-machine-learning

Last synced: 14 Apr 2026

https://github.com/codecraft-sanju/medvisionai-medical-image-ai-vision.

MedVisionAI is an AI-powered platform that analyzes ultrasound images to detect PCOS and provide actionable recommendations. Using CNN-based deep learning and generative AI, it ensures fast, accurate diagnosis, reduces errors, and supports clinicians with instant insights all while maintaining patient privacy and compliance.

deep-learning fastapi gemini-api genai keras-tensorflow machine-learning matplotlib python react scikit-learn seaborn tailwindcss tensorflow

Last synced: 07 Sep 2025

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

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/cesar312/python-data-science-toolbox

A collection of useful data science tools and techniques

data-science jupyter-notebook pandas python scikit-learn statistics visualization

Last synced: 13 Apr 2026

https://github.com/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 16 Mar 2025

https://github.com/lukacerr/lovelytics

Lovelytics technical task for AI engineer position

ai-agents deepagents langchain ml python scikit-learn

Last synced: 31 May 2026

https://github.com/yanne0800/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn

Last synced: 05 May 2026

https://github.com/okerx/spotifymoods

A simple ML model to classify Spotify tracks using audio features.

machine-learning pandas python scikit-learn

Last synced: 09 May 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/duruii/contest-dingtalkcup2-a

2023年第二届“钉钉杯”大学生大数据挑战赛——智能手机用户监测数据分析

data-mining machine-learning pandas scikit-learn xgboost

Last synced: 12 Mar 2025

https://github.com/javi-cc/python-ml-portcanto

Portcanto és un projecte de simulació d'un trajecte en bicicleta. S'ha definit 4 tipus de ciclistes que es diferencien en el temps que tarda a fer el trajecte. L'objectiu és descobrir els 4 patrons amb l'algoritme de clustering KMeans.

clustering docker docker-compose kmeans machine-learning mlfow pydoc pylint python scikit-learn testing venv

Last synced: 13 Apr 2026

https://github.com/oceanuz/car-price-regression

A comprehensive ML evaluation and improvement notebook for a car price prediction model. It includes topics such as scoring with r2, cross-validation, overfitting/underfitting diagnosis, and polynomial regression. *Ridge regression* is applied to reduce overfitting, and (GridSearchCV) techniques are used to find the best alpha hyperparameter.

cross-validation data-science grid-search hyperparameter-tuning machine-learning machine-learning-models model-evaluation overfitting python regression ridge-regression scikit-learn

Last synced: 11 Dec 2025

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/pranavsp108/financial-fraud-detection

A comprehensive machine learning project for detecting financial fraud using XGBoost and LightGBM, with a focus on advanced feature engineering, class imbalance handling, and hyperparameter tuning.

classification-model data-science feature-engineering fraud-detection hyperparameter-tuning lightgbm machine-learning pandas python scikit-learn xgboost

Last synced: 04 May 2026

https://github.com/ivanswetz/banana_shelf-life_prediction

Goal: Predict how many days a banana has left before spoiling (“days to death”) based on a photo. This project demonstrates an end-to-end machine learning pipeline: image preprocessing, feature extraction, supervised & semi-supervised learning, and model deployment.

image-processing machine-learning opencv python random-forest scikit-learn supervised-learning

Last synced: 04 May 2026

https://github.com/imehranasgari/mlflow_starter

This project is a hands-on guide to the complete end-to-end MLflow workflow, designed as an educational resource. It demonstrates how MLflow is used in practice for experiment tracking, model versioning, and ensuring a reproducible MLOps lifecycle, focusing on the methodology and best practices rather than high model accuracy.

data-science experiment-tracking mlflow mlops model-registry python scikit-learn

Last synced: 11 May 2026

https://github.com/njorogepaul-moghul/house-price-predictions-kaggle-competition-

Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."

data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn

Last synced: 15 May 2026

https://github.com/kostadinlambov/time-series-forecasting

This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.

keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow

Last synced: 07 Apr 2026

https://github.com/chirindaopensource/strapsim_portfolio_similarity_metric

End-to-End Python implementation of STRAPSim: a novel portfolio similarity metric from Li et al. (2025). Combines Random Forest proximity learning with residual-aware bipartite matching to quantify economic substitutability between ETF baskets. Full replication pipeline included.

asset-management bipartite-matching corporate-bonds etf-analysis fixed-income jupyter-notebook machine-learning numba pandas portfolio-optimization portfolio-similarity proximity-matrix python quantitative-finance random-forest research-replication scikit-learn similarity-metrics statistical-analysis supervised-learning

Last synced: 28 Apr 2026

https://github.com/affan005-ai/tesla-stock-prediction

This project analyzes Tesla stock data and builds machine learning models to predict and classify stock movements. The analysis includes EDA, feature correlation, moving averages, and two models

data data-analysis data-science data-visualization-project eda machine-learning matplotlib pandas predictive-analytics predictive-modeling python scikit-learn

Last synced: 05 Oct 2025

https://github.com/blue-catblues/tieba-integratedanalysis

Python期末大作业—对百度贴吧进行爬虫采集(scrapy)、统计分析(pandas)、可视化展示(matplotlib)，与机器学习分类(scikitLearn)的综合性数据分析

matplotlib nlp-machine-learning pandas python scikit-learn scrapy seaborn

Last synced: 05 Oct 2025

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/khaifara/klafisikasi_jeruk_faiz_kece

Step by step machine learning classification dengan StandardScaler, OneHotEncoder, OrdinalEncoder, ColumnTransformer, Pipeline, Classification Report, Confusion Matrix dan deployment menggunakan Streamlit

machine-learning scikit-learn streamlit

Last synced: 05 Oct 2025

https://github.com/veerchaudhary0708/credit-fraud-detection

An end-to-end machine learning project to detect credit fraud using XGBoost.

datascience fintech fraud-detection machinelearning scikit-learn xgboost

Last synced: 18 May 2026

https://github.com/inesruizblach/data-science-project

A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.

binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality

Last synced: 09 May 2026

https://github.com/scorchinghot/core-machine-learning-exploration

This repository provides a hands-on exploration of classical machine learning algorithms applied to the MovieLens 100k dataset, aiming to build intuition and understanding of core ML concepts.

core-ml data-science hands-on machine-learning ml-algorithms python scikit-learn tutorial

Last synced: 05 Oct 2025

https://github.com/therayyanshariff/cinereview

A Machine Learning web app for sentiment analysis, using a Scikit-learn NLP model with a custom-styled Streamlit UI.

machine-learning nlp python scikit-learn sentiment-analysis streamlit

Last synced: 04 May 2026

https://github.com/josepablodmg/python--linear-regression---housing-exercise

A predictive analysis exploring the relationship between household characteristics and median income in California. Using linear regression, the project investigates whether blocks with fewer households correspond to higher median incomes.

california data-analysis data-science exploratory-data-analysis housing-data linear-regression machine-learning python regression scikit-learn statistics visualization

Last synced: 05 Oct 2025

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 13 Apr 2026

https://github.com/dearabhin/girlfriend-predictor

Using machine learning to solve the ultimate college classification problem. A fun project applying Python and Logistic Regression to predict relationship outcomes based on a (hilariously) synthetic dataset. 📊❤️

classification data-science fun-project google-colab jyputer-notebook jypyternotebook logistic-regression machine-learning pandas python scikit-learn

Last synced: 06 Oct 2025

https://github.com/muellerconstantin/house-prices

Data analysis about house prices in Ames (Iowa) with advanced regression techniques.

dvc jupyter-notebook python python3 scikit-learn

Last synced: 14 Apr 2026

https://github.com/harris-giki/e-comdataanalysis_ml

E-commerce Customer Analysis with Linear Regression: analyzes customer behavior within an e-commerce setting and predict yearly customer spending based on various features using a linear regression model.

development ecommerce linear-regression machine-learning model prediction-model python scikit-learn

Last synced: 14 Apr 2026

https://github.com/dukebw/ml-model-selection

Machine learning model selection using Dlib and scikit-learn.

dlib machine-learning ranking scikit-learn

Last synced: 07 Oct 2025

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/prarthana-singh/bangalore-house-price-predictor

🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.

data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/arish-mhrjn/aimodelinspector

A fairly comprehensive Python library allowing for exploration, self-education and categorizaton of AI models

ai analysis coreml-models diffusers diffusion-models ggml hdf5-format jax model-discovery model-insights openvino-models pytorch scikit-learn scikitlearn-machine-learning

Last synced: 07 Oct 2025

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 18 Jan 2026

https://github.com/madsondeluna/mvp_pucrio_data_analytics_and_machine_learning

MVP referente a sprint de Machine Learning & Analytics (40530010056_20250_01) da Pós-Graduação em Data Science and Analytics da PUC-Rio.

comparative-analysis data-analytics data-science machine-learning-algorithms postgraduate-course python pytorch scikit-learn

Last synced: 03 May 2026

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/pranavsp108/market_basket_analysis-instacart

Customer segmentation and market basket analysis using the Instacart dataset with Python, Pandas, and K-Means clustering.

customer-segmentation-and-buying-behavior data-analysis data-visualization instacart jupyter-notebook kmeans-clustering market-basket-analysis pandas python scikit-learn

Last synced: 05 May 2026

https://github.com/workwithchaimaa/codealpha_diseaseprediction

Complete ML pipeline for binary classification to predict heart disease. Includes data preprocessing, model comparison (Logistic Regression, RF), hyperparameter tuning, and feature importance analysis.

classification heart-disease machine-learning python random-forest scikit-learn

Last synced: 08 Oct 2025

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 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