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: 2026-07-02 00:27:34 UTC
- JSON Representation
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/senaayy/adhd-network-efficiency
đ§ End-to-end fMRI analysis pipeline comparing ADHD brain topology vs. Healthy Controls using Graph Theory (Global Efficiency & Clustering). Built with Nilearn, NetworkX, and Docker for reproducible neuroscience.
adhd bioinformatics brain-networks computational-neuroscience data-science docker fmri graph-theory network-analysis networkx neuroscience nilearn python scikit-learn
Last synced: 17 Jun 2026
https://github.com/cserajdeep/ml-tutorials
My repository for python implementation of a few prominent machine learning algorithms
ann artificial-neural-networks backpropagation backpropagation-learning-algorithm gradient gradient-descent gradientde kmeans-clustering knn-classification linear-algebra machine-learning ordinary-least-square-regression pca pso python radial-basis-function rbf scikit-learn sgd stocastic-gradient-descent
Last synced: 17 Apr 2026
https://github.com/chris-santiago/tsfeast
A collection of Scikit-Learn compatible time series transformers and tools.
data-science feature-engineering python scikit-learn time-series timeseries-features transformers
Last synced: 01 May 2026
https://github.com/diiblo/la-poste-predictive-flux
PrĂ©diction journaliĂšre du flux de colis dans les centres de tri de La Poste. Pipeline complet : gĂ©nĂ©ration de donnĂ©es, modĂ©lisation LightGBM, orchestration via Airflow (Docker), stockage PostgreSQL et dashboard interactif Streamlit. Projet rĂ©alisĂ© en MastĂšre 2 Data Engineering Ă lâECE Paris.
airflow docker postgresql scikit-learn streamlit
Last synced: 31 Jan 2026
https://github.com/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python scikit-learn
Last synced: 15 Apr 2026
https://github.com/emv271828/diabetes_cdc_uci_machine_learning
Segunda avaliação para a disciplina de InteligĂȘncia Artificial da Universidade Federal Fluminense.
jupyter-notebook machine-learning pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/jbizzlefoshizzle/linear-and-ridge-regression
The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
linear-regression machine-learning machine-learning-algorithms regression-analysis regression-models ridge-regression scikit-learn scikitlearn-machine-learning train-test-split train-test-using-sklearn
Last synced: 16 May 2026
https://github.com/jofaval/titanic-disaster
Data Analysis of the famous Titanic Disaster in 1912 with Machine Learning
classification data-analysis data-science data-visualization google-colab kaggle machine-learning python scikit-learn
Last synced: 15 Apr 2026
https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/oadultradeepfield/galaxy10-anomaly-detection
A public API and experimental PyTorch pipeline for anomaly detection in the Galaxy10 DECals dataset using ResNet50, autoencoders, and clustering techniques
flask google-cloud-run kaggle pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 11 Apr 2026
https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/swat1563/recommendation-system
This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.
analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy
Last synced: 07 Jan 2026
https://github.com/billy0402/python-machine-learning
A learning project from NTUB machine learning course.
ai course jupyter-notebook python scikit-learn tensorflow
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/pramodyasahan/titanic-survival
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.
data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression
Last synced: 08 Apr 2026
https://github.com/andrewjmack/credit-risk-classification
Supervised learning model trained and evaluated on loan risk for potential use in the prediction of the creditworthiness of an applicant
banking loan-prediction-analysis machine-learning pandas python scikit-learn supervised-learning
Last synced: 11 Apr 2026
https://github.com/trimoyee-g/flipkart-reviews-sentiment-analysis
A RandomForestClassifier-based sentiment analysis model for efficient binary categorization of Flipkart reviews.
machine-learning matplotlib python random-forest-classifier scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/amiegirl/sentiment_analyzer_app
Sentiment Analysis and Deployment of Real-time Flipkart Product Reviews
aws aws-ec2 flask logistic-regression machine-learning naive-bayes-classifier pandas python random-forest-classifier scikit-learn wordcloud
Last synced: 05 Apr 2026
https://github.com/daniel-furman/RecFeatureSelect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 09 Jul 2025
https://github.com/dubeyynishant/heart-disease-prediction
Heart Disease Risk Prediction using various ML Algorithms and comparing their accuracies
data-science data-visualization jupyter-notebook knearest-neighbor-algorithm linear-regression logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Jul 2026
https://github.com/blakeziegler/binary-classification-competition
Binary Classification of Insurance Crosselling Kaggle Competition
data-analysis data-science database kaggle kaggle-competition machine-learning python rstudio scikit-learn xgboost
Last synced: 17 Nov 2025
https://github.com/vasu7052/spam-classifier
This is a Machine Learning Project to detect whether a given sentence maybe a spam or not using Python and Keras.
keras keras-neural-networks python3 scikit-learn spam-classification tensorflow
Last synced: 11 Apr 2026
https://github.com/alexsolov28/ml_course
ĐŃŃŃ "ĐąĐ”Ń ĐœĐŸĐ»ĐŸĐłĐžŃ ĐŒĐ°ŃĐžĐœĐœĐŸĐłĐŸ ĐŸĐ±ŃŃĐ”ĐœĐžŃ"
colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2025
https://github.com/jihoonerd/restricted-discriminant-analysis
RDA implementation compatible with Scikit-learn API
discriminant-analysis rda scikit-learn
Last synced: 22 Apr 2026
https://github.com/pranavgautam29/flight-price-prediction
The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.
machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit
Last synced: 21 Feb 2026
https://github.com/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 01 May 2026
https://github.com/moustafamohamed01/breast-cancer-prediction
A machine learning model built with PyTorch to predict if a tumor is malignant or benign using the Breast Cancer Dataset. The model uses a neural network to classify the data and shows how to train, evaluate, and visualize results.
ai data-science deep-learning machine-learning neural-network python pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/dane-meister/titanic-survival-prediction
This project applies machine learning to the Titanic dataset to predict whether a passenger survived.
classification data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook kaggle knn logistic-regression machine-learning pandas python scikit-learn svm titanic-dataset titanic-kaggle
Last synced: 11 Apr 2026
https://github.com/mohit1106/Fraud-Detection-In-Financial-Transactions
an anomaly detection system on 284,807 transactions, achieving an AUC of ~0.972 with CNNs and Autoencoders.
autoencoders cnn-model isolation-forest keras python scikit-learn tensorflow
Last synced: 17 Oct 2025
https://github.com/scikit-learn/pairwise-distances-reductions-asv-suite
A dedicated asv suite for scikit-learn private PairwiseDistancesReductions
asv benchmarks cython scikit-learn
Last synced: 18 Jan 2026
https://github.com/raghavendranhp/industrial_copper_modelling
Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.
classification-models copper decision-tree-classifier decision-tree-regression pickle-file predictive-modeling regression-models scikit-learn
Last synced: 16 May 2026
https://github.com/karimosman89/resume-screening
Screen resumes to identify the best candidates.Build a machine learning model that screens resumes and ranks candidates based on job descriptions.Streamline the hiring process for HR departments by automating candidate screening.
machine-learning-algorithms nlp-machine-learning nltk-python python scikit-learn spacy text-processing
Last synced: 29 Apr 2026
https://github.com/sudarshanasrao/ee559-machine_learning-usc
USC graduate level Machine Learning course
cnn keras machine-learning neural-networks numpy python scikit-learn scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/nikitalpopov/evotor_champ
solution for evotor data challenge
data-analysis data-science python scikit-learn
Last synced: 15 Apr 2026
https://github.com/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/idaraabasiudoh/telco-churn-logistic-regression
A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.
logistic-regression machine-learning python3 scikit-learn
Last synced: 01 Feb 2026
https://github.com/pkini2002/ipl-score-predictor
Machine Learning Academic Project
flask ipl-score-prediction jupyter-notebook machine-learning pickle-file python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/aicorsair/python-case-study-365-data-science-customer-segmentation-in-marketing
This repository contains a detailed case study on the segmentation of 365 Data Science customers using real-world data from an onboarding survey.
customer-segmentation data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization feature-engineering feature-selection hierarchical-clustering k-means-clustering machine-learning marketing marketing-analytics matplotlib pandas python scikit-learn social-media social-media-analysis
Last synced: 13 Apr 2026
https://github.com/khanovico/energy-data-analysis
This is the cloud model analyzing real world dataset with BigQuery and other big-data analyzing tools. I implemented docker image for running this app on cross-platform environments.
big-data-processing bigquery docker google-app-engine jupyter-notebook mlflow python scikit-learn seaborn xgboost
Last synced: 17 Feb 2026
https://github.com/rishav-raj-sinha/data_transformer
GUI based data transformation web-app
data-science datacleaning dataengineering datamanipulation machine-learning pandas python scikit-learn streamlit
Last synced: 02 Jan 2026
https://github.com/parbhat-cpp/suicidal-ml
A machine learning/NLP-based system to identify signs of suicidal ideation from user text inputs.
bash cicd classification docker fastapi githubactions jinja2 jupyter-notebook machine-learning natural-language-processing nlp numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/pramodyasahan/model-selection
This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
machine-learning modelselection numpy pandas python regression scikit-learn
Last synced: 08 Mar 2025
https://github.com/djdhairya/pneumonia-detection
https://youtu.be/1SQIrxhMuUs?si=lF2cg8eTnETf-5Qx
cnn cv deep-learning flask gunicorn keras matplotlib opencv pandas pillow scikit-learn seaborn tensorflow vgg19
Last synced: 11 Apr 2026
https://github.com/coder5omkar/logistic-regression-customer-churn-prediction
This project uses Logistic Regression to predict customer churn in the telecom industry. To run, clone the repository, install dependencies, and run the Jupyter notebook for full analysis and predictions.
logistic-regression ml pandas scikit-learn seaborn statistics
Last synced: 20 Apr 2026
https://github.com/vhnegrisoli/machine-learning-linguagens-programacao
Projeto de Data Science e Machine Learning de anålise de linguagens de programação de 2004 a 2021
data-science jupyter-notebook machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/abdiasarsene/customer_segmentation_for_a_marketing_campaign
Use unsupervised learning techniques to segment a companyâs 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: 08 Mar 2025
https://github.com/paulinhok14/property-insight-sample
Property Insight is an app that helps you identify amazing real estate opportunities, leveraging AI models to estimate a property Fair Value and compare to current prices.
ai docker fastapi python pytorch real-estate scikit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/jo-minseok/global-warming-100year
đĄïž 2100ë êčì§ì ì§ê”Ź êž°ìš, íŽìë©Ž, ë¶ê·č ëčí, íì ììžĄ ML [ìëŁ]
arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/chewzzz1014/health-ease-project
coursework gradio machine-learning python scikit-learn tensorflow uvicorn
Last synced: 20 Apr 2026
https://github.com/amandeep-gupta19/salaries-prediction-linear-regression-
salaries predication using linear regression algorithm
google-colab linear-regression machine-learning matplotlib-pyplot pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/jha2001/movie-recommender-system
machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 05 Mar 2025
https://github.com/anibalalpizar/python-machine-learning-example
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/udacity-machinelearning-internship/more-spam-classifying
Implementing more spam classifying using Ensemble Methods in python
classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn
Last synced: 15 Apr 2026
https://github.com/jagadeeshm007/machine_learning_with_python
my roadmap of Machine Learning with Python .
algorithms machine-learning matplotlib python python3 regression-models scikit-learn
Last synced: 07 Apr 2026
https://github.com/nfordumass/hot-seat
Machine Learning Dashboard and Engine for Predicting NFL Coach Firings
astro machine-learning react scikit-learn supabase typescript
Last synced: 09 Mar 2025
https://github.com/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 02 Feb 2026
https://github.com/pranaypkadu/networksecurity
End To End MLOPS Project With ETL Pipelines- Building Network Security System
aws-ec2 aws-ecr aws-s3 dagshub docker etl-pipelines fastapi github-actions mlflow mlops mongodb-atlas network-security numpy pandas python pytorch scikit-learn tensorflow vscode
Last synced: 19 Mar 2025
https://github.com/sarowarahmed/advertising-sales-app
đ Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 07 Feb 2026
https://github.com/mylena13s/obesity-prediction
data-visualization modeling pandas python scikit-learn
Last synced: 05 Mar 2025
https://github.com/arnoldchrisoduor1/machines
Testing the limits of machines
pytorch scikit-learn tensorflow
Last synced: 11 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/ayushtiwari134/machine_learning_models
A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch
linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/omidghadami95/als_vs_gradientdescent
Matrix Factorization (ALS vs Gradient Descent)
als data-mining data-science factorization gradient-descent machine-learning matrix-factorization mf optimization prediction scikit-learn visualization
Last synced: 29 Apr 2026
https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
Last synced: 11 Apr 2026
https://github.com/shru924/ecommerce_customer_behavior_analysis
A machine learning project that analyzes and segments e-commerce customers based on behavior patterns using Python, Random Forest, and data visualization.
customer-segmentation data-analysis jupyter-notebook machine-learning matplotlib pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
bag-of-words machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python3 pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/rachelnk/simple-machine-learning-model
A simple machine learning model built using scikit-learn library.
data-science linear-regression machine-learning-algorithms machine-learning-models matplotlib numpy pandas python random-forest random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/aerojam95/math70076-data-science-cw2
This repository presents the second coursework for the MATH70076 Data Science module at Imperial College London, where the project showcases different machine and deep learning models for image classification
data-science deep-learning machine-learning python3 pytorch scikit-learn
Last synced: 15 Apr 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/freakwill/nb-combination
ensemble classifier with naive bayes combination
bayes-classifier python scikit-learn
Last synced: 20 May 2026
https://github.com/alejandrolara11/machinelearningcourse
Machine Learning Basics: From Setup to Clustering
data-analysis data-science machine-learning numpy pandas plotly preprocessing-data python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/dllllb/ds-pipeline
Data Science model pipeline based on SciKit-Learn Estimator API
data-science machine-learning python scikit-learn
Last synced: 16 Apr 2026
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 20 Jan 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/tetsumichiumada/student_intervention
Identify students for interventions
machine-learning python scikit-learn supervised-learning
Last synced: 16 May 2026
https://github.com/dinuka-rp/python-machine-learning
This repository contains the projects that I followed to learn Machine Learning with Python
machine-learning python scikit-learn
Last synced: 11 Apr 2026
https://github.com/rririanto/thesis-projects
The computer science thesis project that I worked on when I was a student and was looking for a part time job
bag machine-learning python2 python27 scikit-learn surf
Last synced: 02 Feb 2026
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 11 Apr 2026
https://github.com/infinitode/scikit-learn-decisiontreeclassifier-updater
An open-source tool to convert older Scikit-learn DecisionTreeClassifier models to the newer version.
ai classifier cli converter decisiontree python scikit-learn sklearn tools
Last synced: 31 Mar 2025
https://github.com/tungct/tngtclassifer
bayes-classifier python2 scikit-learn
Last synced: 15 Apr 2026
https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/max00358/sign_language_detection
A sign language detector that recognizes ASL(American Sign Language) alphabet
Last synced: 09 Feb 2026
https://github.com/mohd-faizy/preprocess_ml
This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.
data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn
Last synced: 16 May 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
đ Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 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/mborrillo/ranking-ciudades-espana
Sistema end-to-end de anĂĄlisis multicriterio que evalĂșa 50 ciudades españolas en calidad de vida mediante datos oficiales
business-intelligence data-analysis multi-criteria-decision-analysis pandas python3 quality-of-life ranking-system scikit-learn scoring-models
Last synced: 13 Jan 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
