scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2026-06-25 00:23:58 UTC
- JSON Representation
https://github.com/ledsouza/nlp-article-classification
This project aims to develop a machine learning model capable of classifying news articles into different categories based on their titles. Two different word embedding models (CBOW and Skip-gram) are trained and used to vectorize the article titles. These vectorized representations are then used to train a Logistic Regression classifier.
gensim-word2vec natural-language-processing nlp nlp-machine-learning pandas python scikit-learn spacy spacy-nlp
Last synced: 11 Apr 2026
https://github.com/hallowshaw/speech-emotion-recognition-with-mfcc
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
crema-d kaggle-dataset librosa lstm matplotlib mel-frequency-cepstral-coefficient mfcc mfcc-algorithm python ravdees savee scikit-learn seaborn sentiment-analyser sentiment-analysis speech-emotion-regonition speech-sentiment-analysis tess voice-emotion-recognition voice-sentiment-analysis
Last synced: 07 May 2026
https://github.com/nk-works/creditflow-ai
CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.
ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 24 Jun 2025
https://github.com/pedrosfaria2/match_predictor_models
Soccer match prediction models
css css3 flask html html5 javascript modeling modeling-and-simulation python python3 scikit-learn simulation test-automation test-driven-development testing
Last synced: 11 Apr 2026
https://github.com/ahmed-maher77/signlink___graduation-project
๐๐-๐๐จ๐ฐ๐๐ซ๐๐ ๐๐ข๐ ๐ง ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐ซ๐๐ง๐ฌ๐ฅ๐๐ญ๐จ๐ซ | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.
csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets
Last synced: 07 Apr 2026
https://github.com/victoorv/detection_malwares
L'objectif de ce projet est de dรฉvelopper un classifieur capable de diffรฉrencier les logiciels malwares des goodwares.
classification data-analysis data-science machine-learning machine-learning-algorithms malware-analysis malware-detection oversampling-algorithms python scikit-learn supervised-learning undersampling-algorithms
Last synced: 28 Apr 2026
https://github.com/marktheo/bike-sharing-demand
Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data
decision-tree-classifier decision-tree-regression jupyter-notebook machine-learning scikit-learn
Last synced: 18 May 2026
https://github.com/bhazel/dockerfiles
Some Dockerfiles for working with specific technologies or learning resources.
docker dockerfile ocaml python rails ruby scikit-learn
Last synced: 10 Apr 2026
https://github.com/abhishek10351/ai-ml
Exploring basics of AI-ML
ai jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/sanuann/ml-projects
machine-learning naive-bayes python scikit-learn scikitlearn-machine-learning sklearn svm
Last synced: 18 May 2026
https://github.com/prarthana-singh/heart-attack-prediction-model
A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.
classification data-analysis data-science heart-attack-prediction logistic-regression machine-learning numpy pandas python scikit-learn
Last synced: 25 Jun 2025
https://github.com/aryanpillai2007/credit-card-fraud-detection
The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.
anomaly-detection classification credit-card-fraud data-preprocessing data-science data-visualization fraud-detection imbalanced-data logistic-regression machine-learning outlier-detection pca pca-analysis python roc-curve scikit-learn
Last synced: 18 May 2026
https://github.com/akshaypatra/cardiovascular_disease_detection
AI-driven ECG classification model that detects cardiovascular abnormalities such as arrhythmia and atrial fibrillation using a hybrid CNN-LSTM deep learning approach.
keras matplotlib numpy pandas python3 scikit-learn seaborn tensorflow wfdb
Last synced: 14 Apr 2026
https://github.com/kanika300393/loan_prediction
This project implements a Loan Prediction system using Support Vector Machine (SVM). It includes data preprocessing, visualization of features like income and education, and model evaluation. The goal is to predict loan approval based on the dataset. Clone the repo to explore the code and improve the model.
data-science machine-learning numpy pandas python scikit-learn svm-classifier
Last synced: 09 Apr 2026
https://github.com/jpcadena/hackathon-kin
Hackathon Kin: Customers churn (Finance and Risk).
algorithms ann churn-prediction classification data-science keras machine-learning python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/simon2k/stock-price-prediction-evaluation
This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.
evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn
Last synced: 07 Apr 2026
https://github.com/enayar478/nomad_machine_learning_dash_app
An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.
analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application
Last synced: 02 Jan 2026
https://github.com/wb-az/peft_lora_opt_llm_finetuning
This repository contains code to fine llm with diverse peft techniques with custom datasets.
emotion-analysis facebook-opt huggingface-transformers llm-fine-tuning llm-inference lora modernbert peft-fine-tuning-llm plotly-express python3 pytorch roberta-base scikit-learn scipy
Last synced: 30 Dec 2025
https://github.com/satheesh-meadi/real_time_financial_risk_dashboard
Financial Risk Analysis Dashboard ๐. An interactive Streamlit dashboard designed for analyzing and visualizing portfolio performance. Features include CAPM analysis, portfolio optimization, efficient frontier visualization, and real-time stock data to help optimize investments.
numpy pandas plotly plotly-express python3 scikit-learn streamlit yfinance
Last synced: 05 Apr 2026
https://github.com/inneedlovebu/titanic-survival-prediction
A complete data science project predicting Titanic survival, featuring EDA, model tuning, and a web demo
artificial-intelligence binary-classification classification data-science gradio jupyter-notebook kaggle machine-learning pandas predictive-modeling python scikit-learn titanic
Last synced: 10 Apr 2026
https://github.com/capsuleismail/drybeanuci
Data Science Project with Model comparison.
datascience jupyter-notebook machinelearning-python scikit-learn
Last synced: 18 May 2026
https://github.com/sbera01/credit-card-approval-predictor
End-to-end Machine Learning project to predict credit card approval decisions using real-world financial features. Includes EDA, model training, and deployment-ready architecture
credit-card-approval-prediction data-analysis machine-learning python scikit-learn streamlit
Last synced: 24 Dec 2025
https://github.com/adhishnanda/motion-based-german-learning-app
AI-powered language learning app with gesture recognition (MediaPipe + ML/DL models), real-time interaction, spaced repetition, and full React/TypeScript UI. Demonstrates ML engineering, computer vision, and frontend expertise.
capstone-project computer-vision data-science deep-learning gesture-recognition interactive interactive-learning machine-learning mediapipe portfolio-project pose-estimation react scikit-learn tensorflow typescript
Last synced: 07 Apr 2026
https://github.com/ramyacp14/sentimentanalysis
Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.
machine-learning natural-language-processing nltk numpy pandas python scikit-learn
Last synced: 07 Apr 2026
https://github.com/jerinpious/house-price-prediction
This project is a machine learning-based application to predict house prices. A frontend interface has been developed using Streamlit to make the prediction process user-friendly for regular customers. The project is structured
data-analysis data-engineering data-science eda machine-learning pandas python random-forest scikit-learn streamlit
Last synced: 05 Apr 2026
https://github.com/dadvaiahpavan/ats-system
This AI-driven Applicant Tracking System (ATS) is a cutting-edge solution designed to revolutionize the recruitment process by providing intelligent resume analysis and matching capabilities.
google-generativeai nltk pandas plotly python-docx scikit-learn spacy streamlit
Last synced: 05 Apr 2026
https://github.com/jainish-prajapati/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: 30 Dec 2025
https://github.com/shibbir24/Water-Potability-Prediction-Using-Hybrid-Machine-Learning-Techniques
Water Potability Prediction Using Hybrid Machine Learning Techniques
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 30 Dec 2025
https://github.com/myahninsi/credit_card_fraud_detection
This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.
matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
Last synced: 09 Apr 2026
https://github.com/amidug/brazilpipeline
fastapi keras mlflow python scikit-learn tensorflow xgboost
Last synced: 10 Apr 2026
https://github.com/antonio-f/local-rag-llama3
Local RAG using LLaMA3
annotated artificial-intelligence hands-on jupyter-notebook langchain llama3-rag llm local machine-learning python rag retrieval-augmented-generation scikit-learn support-vector-machines tutorial
Last synced: 09 Apr 2026
https://github.com/mayhixza/breast-cancer-classification
Classified tumors as malignant or benign using various supervised ML models
classification eda evaluation-metrics jupyter-notebooks machine-learning scikit-learn supervised-machine-learning
Last synced: 18 May 2026
https://github.com/ifte-13/loan-approval-system
Loan Approval System
imbalanced-learn matplotlib numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/jofaval/california-housing-pricing
Data Analysis about the California Housing Pricing in 1997
data-analysis data-science data-visualization deep deep-learning deep-neural-networks google-colab keras machine-learning matplotlib python regression scikit-learn seaborn tensorflow
Last synced: 05 Apr 2026
https://github.com/jupitvq/simple-uib-assistant
Chatbot sederhana berbasis machine learning untuk membantu mahasiswa memberikan informasi seputar akademik & administrasi UIB.
chatbot machine-learning scikit-learn virtual-assistant
Last synced: 05 Apr 2025
https://github.com/abdulshaikh55/ml-involuntary-denied-boarding
A machine learning model that predicts whether you will be denied onboarding your plane.
first-timers ipynb machine-learning scikit-learn
Last synced: 29 Apr 2026
https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-
The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virusโs spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/yuji1702/ai--powered-triage-system
This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib
cryptography data-imputation data-preprocessing data-security encryption gui healthcare machine-learning matplotlib medical-data python random-forest realt-time scikit-learn seaborn tkinter triage-system
Last synced: 05 Apr 2025
https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends
This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.
cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization
Last synced: 18 Apr 2026
https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project
This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.
artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler
Last synced: 05 Apr 2026
https://github.com/venky-1710/superhero-recruitment
Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.
css flask html numpy pandas python scikit-learn
Last synced: 07 Apr 2026
https://github.com/josugoar/digit-recognizer
Digit recognizer full stack web app and classifier
flask jquery opencv scikit-learn
Last synced: 12 Sep 2025
https://github.com/tapas-gope/telecommunication-customer-churn
This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.
feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn
Last synced: 12 Sep 2025
https://github.com/biswarup14/priceprediction-ml-model
machine-learning numpy pandas python scikit-learn
Last synced: 07 Apr 2026
https://github.com/narendhiran-dev/predictive-analytics-for-repayment-predictions
A machine learning API built with Python, FastAPI, and Scikit-learn to predict borrower repayment risk based on historical payment data. A FinTech risk assessment system that uses a Random Forest model to predict a borrower's future repayment behavior and serves the prediction via a REST API.
data-science fastapi fintech loan-prediction loan-prediction-analysis machine-learning machine-learning-algorithms predictive-modeling python random-forest random-forest-classifier random-forest-regression rest-api risk-assessment scikit-learn scikit-learn-api scikit-learn-python
Last synced: 13 Apr 2026
https://github.com/sabin74/loan_approval_prediction
This project predicts whether a loan application will be approved or not using machine learning classification models. The dataset used is from Kaggleโs Loan Prediction problem. The goal is to build a robust model to assist banks or financial institutions in making automated loan approval decisions.
classification-models kaggel-dataset loan-approval-prediction matplotlib-seaborn pandas python scikit-learn
Last synced: 30 Apr 2026
https://github.com/karan-malik/advancedregression
Using Various Regression Algorithms to Predict House Sales
adaboost-algorithm decision-tree-regression decision-trees gradient-boosting-regressor house-price-prediction linear-regression machine-learning machine-learning-algorithms python python3 random-forest-classifier random-forest-regressor regression regression-algorithms regression-models scikit-learn scikitlearn-machine-learning support-vector-regression svm
Last synced: 24 Apr 2026
https://github.com/nazif96/disease-prediction
Cardiovascular Disease Prediction
pandas-python pyspark pyspark-ml pyspark-sql python3 scikit-learn
Last synced: 18 Apr 2026
https://github.com/nickklos10/seriea_machine_learning_predictions_2025
This project involves scraping data, processing the data, and building machine learning models to predict the standings for the 2024-2025 Serie-A season.
beatifulsoup data-scraping keras matplotlib pandas scikit-learn shap tensorflow
Last synced: 13 Apr 2026
https://github.com/sneha1012/ml-dl
Implementing concepts and algorithms from scratch.
deep-learning machine-learning matplotlib numpy-tutorial scikit-learn
Last synced: 18 May 2026
https://github.com/tanaybhadula/ml-preprocessing-cli
A CLI tool with python to preprocess datasets for performing supervised learning to save time for users. Input data can be preprocessed using simple commands and preprocessed dataset can be downloaded later
cli data-cleaning data-preprocessing machine-learning pandas python scikit-learn
Last synced: 10 May 2026
https://github.com/konnik88/heart-disease-ml-practice
Practice notebook on heart-disease risk with a small/noisy dataset: EDA โ preprocessing โ classic ML baselines (scikit-learn). Not for clinical use
classification eda healthcare heart-disease imbalanced-data jupyter-notebook machine-learning model-evaluation optuna reproducibility scikit-learn
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
Last synced: 17 Apr 2026
https://github.com/kejiahp/fastapi-ecom-recommendation-system
Advanced recommendation system for e-commerce applications.
docker fastapi jinja2 mongodb motor pydantic python scikit-learn scikit-surprise
Last synced: 07 Apr 2026
https://github.com/hrolive/disaster-response-pipeline
A machine learning pipeline that categorizes disaster related messages so that they can be sent to the appropriate disaster relief agency
flask machine-learning natural-language-processing nltk pandas plotly python scikit-learn sql sqlalchemy
Last synced: 07 Apr 2026
https://github.com/md-rejoyan-islam/diabetes-prediction-model
matplotlib pandas python scikit-learn
Last synced: 09 May 2026
https://github.com/swetshaw/machine-learning-a-z
It contains all tutorials based on Udemy course Machine Learning A-Z.
machine-learning python scikit-learn udemy-machine-learning
Last synced: 07 Apr 2026
https://github.com/vhnegrisoli/machine-learning-linguagens-programacao
Projeto de Data Science e Machine Learning de anรกlise de linguagens de programaรงรฃo de 2004 a 2021
data-science jupyter-notebook machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/smpotts/student-performance-predictions-ml
Creates machine learning models to predict student's learning outcomes.
jupyter-notebook machine-learning python regression-models scikit-learn
Last synced: 12 Sep 2025
https://github.com/fardinhash/scikit-learn_tutorial
machine-learning machine-learning-library python scikit-learn
Last synced: 06 May 2026
https://github.com/iamriteshkoushik/skrun
18hrs Scikit Learn Course Speedrun Repo
freecodecamp machine-learning scikit-learn
Last synced: 26 Apr 2026
https://github.com/aadrianleo/fashion-style-classifier
A machine learning and deep learning pipeline for fashion image classification. Combines real-world data, manual annotation, and both KNN and EfficientNet-B0 CNN models to classify images into style categories. Includes data cleaning, augmentation, model training, evaluation, and reproducible notebooks.
classification-report cnn computer-vision confusion-matrix data-augmentation data-preprocessing deep-learning efficientnet exploratory-data-analysis fashion-classification image-classification knn label-studio machine-learning model-evaluation pytorch real-world-data reproducible-research scikit-learn transfer-learning
Last synced: 11 May 2026
https://github.com/veranyagaka/credit-card-fraud-detection
Credit Card Fraud Detection using data preprocessing, analysis, visualization, and machine learning to accurately identify fraudulent transactions. -Final Project
ai anomaly-detection classification credit-card-fraud-detection machine-learning scikit-learn supervised-learning
Last synced: 18 May 2026
https://github.com/callesjuan/ninjalprm
Protรณtipo de ferramenta de agrupamento de dispositivos Android por geolocalizaรงรฃo (Server)
Last synced: 20 Jan 2026
https://github.com/bhaveshbhakta/crop-yield-prediction
Indian Crop Yield Prediction Using Machine Learning
flask machine-learning python random-forest scikit-learn webdevelopment
Last synced: 20 Apr 2026
https://github.com/yugalsoni18/counterfeit_review_detection
Fake review detection using TF-IDF & SVM (AUC 0.98), plus Counterfeit Risk Score with clustering & anomaly detection.
business-analytics fraud-detection isolation-forest kmeans nlp python risk-scoring scikit-learn svm tfidf
Last synced: 18 May 2026
https://github.com/pradipnp/decisiontree-iris
Machine learning project to classify iris flowers using a decision tree
classification decision-tree iris-dataset machine-learning python scikit-learn
Last synced: 18 May 2026
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/tungct/classifer_tngt
naive-bayes-classifier python2 scikit-learn
Last synced: 17 Apr 2026
https://github.com/saniyaacharya04/resume-scanner-using-nlp
A live resume scanning and ranking tool built with Python, Streamlit, and NLP. Upload resumes, match them to job descriptions, and generate analytics dashboards and PDF reports.
dashboard job-matching nlp pdf-parser resume-scanner scikit-learn spacy streamlit transformers
Last synced: 03 May 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/sanalislokuge/breast-cancer-ml-prediction
Machine Learning project using classification, regression, and ensemble techniques to predict breast cancer mortality status and survival months using clinical data. Built with scikit-learn, decision trees, logistic regression, and Naรฏve Bayes. Includes detailed model evaluation, data preprocessing, and interpretability.
classification data-science decision-tree ensemble-learning healthcare-analytics machine-learning ml models naive-bayes-classifier predictive-modeling regression scikit-learn
Last synced: 19 May 2026
https://github.com/anty-filidor/cyberbullying-detector
NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD
deployment-system flask-api machine-learning nlp python scikit-learn
Last synced: 19 May 2026
https://github.com/adityajn105/machine-learning-algos
Different Algos Learn While Learning Machine-Learning
machine-learning-algorithms matplotlib-tutorial nltk pandas-tutorial scikit-learn scipy seaborn tensorflow-tutorials
Last synced: 11 Apr 2026
https://github.com/idaraabasiudoh/drug_prescribtion_decision_tree_model
This repository contains a machine learning project focused on classifying drugs based on patient characteristics using a Decision Tree classifier. The project uses Python and popular data science libraries such as scikit-learn, pandas, and matplotlib.
data-analysis jupyter-notebook machine-learning python3 scikit-learn
Last synced: 10 Apr 2026
https://github.com/arrhythmia-detection/authorfeatureextracteddecisiontreeesp32s3
Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
arrhythmia-classification decisiontreeclassifier eloquent esp32-arduino esp32-s3 scikit-learn
Last synced: 19 May 2026
https://github.com/huucanh0511/startup-profitability-prediction
This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection
ai-for-finance data-science financial-modelling logistic-regression machine-learning predictive-analytics python random-forest scikit-learn startup-analysis
Last synced: 19 May 2026
https://github.com/medicharlakarthik/credit-card-fraud-detection
Credit Card Fraud Detection using machine learning to distinguish fraudulent transactions from legitimate ones. This project includes data analysis, model training, and evaluation to achieve high accuracy and recall, minimizing false negatives for better fraud detection
machine-learning python random-forest-classifier scikit-learn
Last synced: 12 Apr 2026
https://github.com/shotaromatsuya/python-sandbox
pythonๅญฆ็ฟ็จ
jupyter-notebook pytest scikit-learn tkinter
Last synced: 21 May 2026
https://github.com/subratamondal1/machine-learning
Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.
machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/makiato1999/strokepredict-datascience
McMaster University CSE780 Project
multilayer-perceptron-network numpy pandas random-forest-classifier scikit-learn
Last synced: 06 Apr 2026
https://github.com/nika2811/new-york-city-taxi-fare-prediction
About In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 8 features along with GPS coordinates of pickup and dropoff
data data-preprocessing data-visualization decision-trees feature-engineering kaggle kaggle-competition linear-regression machine-learning neural-network nyc polynomial-regression ridge-regression scikit-learn taxi taxi-data tensorflow xgboost
Last synced: 06 Apr 2025
https://github.com/gangula-karthik/altitude-analytics
Developed a powerful model that predicts airline review sentimentsโpromoter, passive, or detractorโto help airlines sharpen their marketing strategies and boost customer loyalty ๐ โจ
airlines data-science machine-learning python scikit-learn sentiment-analysis supervised-learning
Last synced: 15 Apr 2026
https://github.com/agrawalchaitany/product_recommendation
Smart Product Recommender is an AI-driven platform using web scraping and machine learning to deliver personalized shopping recommendations by analyzing product data and user preferences.
beautifulsoup cosine-similarity jupyter-notebook pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/somjit101/ds-logistic-regression
A simple implementation of the Logistic Regression Classifier on the Breast Cancer Dataset with L1 regularization and GridSearch for hyperparameter tuning.
breast-cancer-prediction breast-cancer-wisconsin grid-search grid-search-cross-validation hyperparameter-tuning logistic-regression machine-learning-algorithms regularization scikit-learn
Last synced: 19 May 2026
https://github.com/freakwill/dred
๐ด dred = dimension reducing for machine learning (suit to sklearn)
dimension-reduction scikit-learn sklearn sklearn-estimator
Last synced: 19 May 2026
https://github.com/somjit101/ds-linear-regression
A simple Linear Regression model using the Boston Housing Prices Dataset
boston-housing-dataset boston-housing-price-prediction linear-regression machine-learning machine-learning-algorithms scikit-learn simple-linear-regression
Last synced: 19 May 2026
https://github.com/lopez86/datascienceexamples
Examples of various data science & data analysis topics using various sources of data.
data-analysis data-science pandas scikit-learn tutorial visualization
Last synced: 13 Apr 2026
https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment
This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).
joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance
Last synced: 09 Apr 2026
https://github.com/shubhamgoyal575/credit-card-fraud-detection
๐ Credit Card Fraud Detection using Machine Learning This project focuses on detecting fraudulent credit card transactions using machine learning models like Random Forest, XGBoost, and Deep Learning. The dataset is preprocessed to handle class imbalance, and multiple models are evaluated based on ROC AUC Score and F1 Score.
adaboost-classifier artificial-neural-networks credit-card-fraud data-analysis data-cleaning data-preprocessing data-science data-visualization deep-learning exploratory-data-analysis lightgbm machine-learning machine-learning-algorithms random-forest-classifer scikit-learn tensorflow xgboost
Last synced: 08 Feb 2026
https://github.com/davidcgong/birddog.io
Real estate forecasting using Zillow Research data
forecasting pandas scikit-learn
Last synced: 19 May 2026
https://github.com/katiebristol/epsilon_fe2o3_controls
Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.
biplot exploratory-data-analysis k-means-clustering machine-learning one-hot-encoding paleomagnetism principal-component-analysis random-forest rock-magnetism scikit-learn
Last synced: 19 May 2026
https://github.com/jazib-2004/face-mask-detection-using-cnns
Face mask detection can be very useful in environments like hospital emergency rooms or ICUs where wearing mask is mandatory. It can also help in pandemics like COVID where such models can detect if a person is wearing a mask or not. In this project, I used a Convolutional Nueral Network architecture to train a face mask detection algorithm based.
convolutional-neural-networks keras object-detection python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/ramarav/scikitlearn_practice
Scikit Learn Practice
python3 scikit-learn scikitlearn-machine-learning sklearn
Last synced: 19 May 2026