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: 2026-06-11 00:27:27 UTC
- JSON Representation
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 sentiments—promoter, passive, or detractor—to help airlines sharpen their marketing strategies and boost customer loyalty 🚀 ✨
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
🔴 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
📌 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
https://github.com/shamikaredkar/nextbinge-old
NextBinge is a personalized movie recommender system designed to suggest movies similar to the ones you've watched and liked. It leverages content-based filtering, recommending movies by analyzing genres, keywords, cast, and crew information.
machine-learning nlp-machine-learning python scikit-learn scikitlearn-machine-learning streamlit streamlit-webapp
Last synced: 14 Mar 2025
https://github.com/lucasfranklinsilva/machine-learning
Projetos de Machine Learning.
data-mining data-science machine-learning python scikit-learn
Last synced: 19 May 2026
https://github.com/xprithvi/random-forest-regressor
This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.
data-science feature-extraction machine-learning random-forest random-forest-regression scikit-learn
Last synced: 14 Mar 2025
https://github.com/v41bh4vr4jput/medical-diagnosis-assistant
Medical Diagnosis Assistant is a smart, multi-featured Python application that helps predict diseases based on symptoms and medical metrics using Machine Learning and Deep Learning techniques. It assists users in making informed decisions by analyzing health data and generating detailed PDF reports
logistic-regression pandas python random-forest requests scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/twistedfrost/best-of-ml-python
Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟
airport airport-simulation awesome breast-cancer-prediction data-analysis data-science data-visualization decision-tree-classifier deep-learning gpt jax nlp random-forest-classifier scikit-learn svm-classifier transformer usg-ai-training-data usg-artificial-intelligence
Last synced: 26 Jun 2025
https://github.com/shendrew/coursescope
Machine learning for course classification by topics
beautifulsoup machine-learning nlp scikit-learn
Last synced: 09 Apr 2026
https://github.com/maheera421/supervised-machine-learning
Implementation of necessary supervised machine learning algorithms for regression and classification.
classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization
Last synced: 11 Apr 2026
https://github.com/lourdilene/guess-the-number
Number guessing game played between two players: human and computer. Basic Python project for studying object-oriented programming and machine learning with the scikit-learn library.
machine-learning oops-in-python scikit-learn
Last synced: 20 May 2026
https://github.com/lkethridge/intro_to_machine_learning_project
Intro to Machine Learning Project from TripleTen
accuracy-metrics classification decision-tree-regression evaluation-metrics jupyter-notebook linear-regression logistic-regression machine-learning mean-square-error model-comparison-and-selection model-quality random-forest-regression regression scikit-learn splitting-data supervised-learning trained-models tuning-hyperparameters
Last synced: 20 May 2026
https://github.com/myahninsi/housing-price-prediction-ml
Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.
elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/elprofesoriqo/milab
The segmentation of lumbar spine MRI images to identify key anatomical structures related to lumbar spinal stenosis.
machine-learning machine-learning-images machine-learning-models python scikit-learn
Last synced: 02 Jan 2026
https://github.com/sudo-de/hull_tactical_market_prediction_using_hyperopt
This is based market timing model inspired by Hull Tactical’s approach, using Hyperopt for hyperparameter optimization and backtesting to enhance predictive performance.
algorithms catboost lightgbm optimization optuna python3 scikit-learn scipy xgboost
Last synced: 06 May 2026
https://github.com/alphacrypto246/zoo-animal-classifier
A project that uses machine learning to classify animals into categories like Mammals, Birds, and Reptiles based on their characteristics.
machine-learning machine-learning-algorithms random-forest scikit-learn
Last synced: 20 May 2026
https://github.com/emmarhoffmann/starsort
A multi-model machine learning project that achieves up to 100% accuracy in classifying star types using five different AI algorithms
decision-tree naive-bayes neural-network python random-forest scikit-learn svm
Last synced: 20 May 2026
https://github.com/rohit-2301/hiresense
HireSense is an AI-powered resume classifier that uses NLP and Machine Learning to predict the best-fit job role from a PDF resume. Built with Streamlit, it features a clean UI for uploading resumes and instantly suggests roles like Data Scientist, Full Stack Developer, and DevOps Engineer.
joblib ml nlp pymupdf python scikit-learn streamlit tfidfvectorizer
Last synced: 22 Jul 2025
https://github.com/nikitalpopov/news
v semester project
data-analysis data-science python scikit-learn
Last synced: 20 May 2026
https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 20 Jan 2026
https://github.com/zahediparsa/ml_birkaracademy
Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai
decision-trees iris-dataset knn machine-learning mlp-classifier scikit-learn
Last synced: 02 Jan 2026
https://github.com/chaman2003/parkinson-detection
Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.
ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn
Last synced: 08 Apr 2026
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/wuweiweiwu/zookeeper-bot
Bot for Facebook Messenger game Zookeeper using scikit-learn SVM :dromedary_camel:
facebook-messenger scikit-learn svm zookeeper
Last synced: 20 May 2026
https://github.com/barbaraeguche/pyrocast
🚒 a proactive wildfire prediction & analysis built with react & flask.
ai flask ml pandas react scikit-learn vite
Last synced: 08 Apr 2026
https://github.com/nfordumass/nbafinalsmvp_ml
A python machine learning analysis of who should've won NBA Finals MVP each year.
jupyter-notebook machine-learning python scikit-learn
Last synced: 28 Mar 2025
https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
Last synced: 08 Apr 2026
https://github.com/pramodyasahan/house-price-prediction
This repository contains the code for a machine learning model aimed at predicting housing prices. The model is based on the RandomForestRegressor algorithm from the scikit-learn library and utilizes feature selection, preprocessing, and pipeline techniques for improved performance.
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/vancenceho/college_projects
🎓 House of school/college homework, problem sets & mini-projects which consists mainly of data structures & algorithms
data-structures matlab pandas python queue scikit-learn seaborn stack
Last synced: 08 Apr 2026
https://github.com/bsamseth/triangular-regressor
A scikit-learn compatible implementation of a 2D triangular regressor.
Last synced: 20 May 2026
https://github.com/thekartikeyamishra/aipoweredmarketingassistant
AI-Powered Marketing Assistant, an advanced tool designed to enhance your digital marketing campaigns using the power of machine learning (ML) and large language models (LLMs). This project empowers small businesses and MSMEs to create compelling content, analyze campaigns, and strategize effectively.
artificial-intelligence llm matplotlib numpy openai pandas python scikit-learn streamlit
Last synced: 08 Apr 2026
https://github.com/esha-sm/forecastx
This is an interactive web application for forecasting sales data using the ARIMA model. Users can upload their own CSV files or use a default dataset to generate forecasts and visualizations.
arima-model flask-api jupyter-notebook matplotlib pandas plotly python scikit-learn seaborn
Last synced: 27 Feb 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/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/mylena13s/obesity-prediction
data-visualization modeling pandas python scikit-learn
Last synced: 05 Mar 2025
https://github.com/jha2001/movie-recommender-system
machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 05 Mar 2025
https://github.com/chewzzz1014/health-ease-project
coursework gradio machine-learning python scikit-learn tensorflow uvicorn
Last synced: 20 Apr 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/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/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/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/jihoonerd/restricted-discriminant-analysis
RDA implementation compatible with Scikit-learn API
discriminant-analysis rda scikit-learn
Last synced: 22 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/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/mk2345/fashionmnist-dl-ml
CNN and SVM image classifiers implemented in Keras and Scikit-Learn.
jupyter-notebook keras-tensorflow scikit-image scikit-learn
Last synced: 10 May 2026
https://github.com/kheriberto/logistic_regression_project
A project that analyses dummie data from an advertising company using logistic regression
data-analysis logistic-regression pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/amon20044/quantum-bayes-classifiers-and-their-application-in-image-classification
implementing Quantum Bayes Classifiers (QBCs) for image classification tasks using MNIST and Fashion-MNIST datasets, based on the research by Ming-Ming Wang and Xiao-Ying Zhang. The project includes Naïve QBC, SPODE-QBC, TAN-QBC, and Symmetric-QBC, simulated on MindQuantum.
bayesian bayesian-inference classification computing gaussian mindquantum mindspore naive-bayes-classifier qml quantum quantum-computing quantum-machine-learning research-reproduction scikit-learn spode tan
Last synced: 18 May 2026
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/dwija12903/password-strength-checker
A Model to evaluate the strength of passwords and enhance security for your applications.
matplotlib pandas scikit-learn seaborn xgboost
Last synced: 02 Jan 2026
https://github.com/jenil311/application-of-covid-19-spread-analysis
The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.
covid19-tracker machine-learning regression-analysis regression-models ridge-regression scikit-learn
Last synced: 02 Jan 2026
https://github.com/zenklinov/regression_logistic_-_sentiment_analysis
This project demonstrates sentiment analysis, model based on movie review data using Logistic Regression. The model predicts whether a review expresses positive or negative sentiment based on the text provided. The application on #PepGuardiola from Twitter (X).
natural-language-processing nlp nltk scikit-learn sentiment-analysis
Last synced: 03 May 2026
https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/anas436/loan-case-will-be-paid-off-or-not-prediction-using-classification-with-python
decision-trees f1-score ibm-watson itertools jaccard-score knearest-neighbor-algorithm log-loss logistic-regression matplotlib-pyplot numpy pandas python3 scikit-learn sklearn support-vector-machines
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/lren-chuv/sklearn_to_pfa
Convert Scikit Learn models to PFA
Last synced: 21 May 2026
https://github.com/abhishekbagdiya01/movies-recommendation-system
This repository contains the code for a movie recommendation system built using Jupyter Notebook.
aiml jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/wlopezm-unal/titanic_ship-streamlit
Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result
docker machine-learning optuna scikit-learn streamlit supervised-machine-learning
Last synced: 25 Feb 2025
https://github.com/bjornmelin/ml-algorithm-playground
🧪 Core ML algorithm implementations with GPU acceleration. Featuring optimized implementations across various libraries with comprehensive analysis. 📈
algorithms cuda gpu-computing lightgbm machine-learning python scikit-learn xgboost
Last synced: 13 May 2026
https://github.com/itaxbox/loan-eligibility-prediction
Loan Eligibility Prediction using Decision Tree
decision-trees jupyter-notebook matplotlib pandas python scikit-learn
Last synced: 17 Jun 2025
https://github.com/raduldev/ann-classification-churn
ANN based classifiacation model
onehot-encoding python3 scikit-learn streamlit tensorflow
Last synced: 02 Jan 2026
https://github.com/rtahmasbi/applications_tempalete
Templates for different applications
java latex linux pearl python r scikit-learn shell-script tensorflow
Last synced: 12 Apr 2026
https://github.com/akankshaaa013/practice-machine-learning-projects
A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.
classification machine-learning-algorithms regression-algorithms scikit-learn
Last synced: 21 May 2026
https://github.com/sreekar0101/-movie-recommendation-system-using-python
The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python
Last synced: 02 Jan 2026
https://github.com/douglaside/airlinedelay
[✍🏻Learn] Project aimed at analyzing flight delays, using Python algorithms and machine learning techniques to aid decision-making and identify patterns.
ai alura boxplot data-science graphics histogram machine-learning machine-learning-algorithms pandas python scikit-learn static
Last synced: 28 Jun 2025
https://github.com/achronus/data-exploration
A repository dedicated to interesting data exploration projects I've completed
data-analysis exploratory-data-analysis machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: 02 Jan 2026
https://github.com/miguellopezvirues/azure_keyword_cpc
Development and deployment of simple regression model in Azure Machine Learning.
azureml deplyment machine-learning mlflow pandas scikit-learn
Last synced: 09 May 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/dwija12903/mentorness-internship
Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.
matplotlib numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/giatraskon/machine_learning_assignments
Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.
adversarial-examples bayesian-inference bias-variance-tradeoff cifar10 classification deep-learning emotion-recognition iris-dataset k-nearest-neighbours keras machine-learning mnist neural-networks opencv pima-indians-diabetes python regression ridge-regression scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model
Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".
machine-learning pandas random-forest-regression scikit-learn
Last synced: 03 May 2026
https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
javscript numpy pandas powerbi python scikit-learn tableau vuejs
Last synced: 08 Apr 2026
https://github.com/ghulammuhayyudin1003/Email-Spam-Detector
ML-powered email spam detector with TF-IDF, Random Forest & OCR for image-based spam. Built on published research (EJASET 2025). Live on Streamlit Cloud.
email-classification email-spam-detection machine-learning nlp ocr scikit-learn streamlit streamlit-webapp tesseract tfidf
Last synced: 22 May 2026
https://github.com/analitico-771/machine_learning_trading_bot
This is an Application that implements an algorithmic trading strategy that uses machine learning to automate the trade decisions
financial-analysis hvplot logistic-regression machine-learning moving-average pandas-dataframe predictive-modeling python scikit-learn stock-price-prediction support-vector-machine
Last synced: 08 Apr 2026
https://github.com/thekartikeyamishra/predictive-sales-analytics
The Predictive Sales Analytics tool aims to help MSMEs forecast future sales using historical data. This advanced version leverages Machine Learning for accurate predictions and provides a dashboard to visualize sales trends, seasonality, and predictions.
joblib machine-learning matplotlib pandas python scikit-learn streamlit
Last synced: 08 Apr 2026
https://github.com/rakibhhridoy/visualmachinelearning-yellowbrick
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick
Last synced: 03 May 2026
https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering
Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.
breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning
Last synced: 14 Apr 2026
https://github.com/leosolar8/predictive-healthcare-patient-analytics-modeling
Predicting patient outcomes is a crucial task in healthcare that can have a significant impact on improving patient care.
ai-in-healthcare clinical-decision-support-system data-visualization healthcare-analysis machine-learning medical-ai predictive-modeling scikit-learn streamlit tensorflow
Last synced: 08 Apr 2026
https://github.com/paragon279/cancercellclassificationbyscikitlearn
Classifies cancer cell using Scikit-learn
machine-learning python scikit-learn
Last synced: 22 May 2026
https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 13 Jul 2025
https://github.com/leosolar8/mental-health-tech-ai-survey
Mental Health in Tech Survey Analysis — Applied K-means clustering, PCA, and Chi-square tests on tech industry survey data to uncover patterns between remote work practices and mental health consequences, with visualizations of key trends.
clustering data-science kmeans machine-learning mental-health pca python-project scikit-learn seaborn survey-analysis tech-industry visualization
Last synced: 08 Apr 2026
https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
Last synced: 08 Apr 2026
