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/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/anuranjanjain/video-upscaler
A WebAPP designed for upscalling video to HD Resolution using custom Denoise filter and OpenCV
artificial-intelligence opencv python scikit-learn tailwindcss
Last synced: 24 Jan 2026
https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
Last synced: 24 Jan 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 15 Apr 2026
https://github.com/pyzit/recommandation-engine-in-drf-sk-learn
Full Stack Movie Recommendation System Project made in Django REST Framework and React JS
api django django-rest-framework movies reactjs recommender-system scikit-learn
Last synced: 28 Jan 2026
https://github.com/glennx1/heartdrive
ML-powered heart disease predictor using Streamlit, featuring data preprocessing, visualization, and user input interface.
matplotlib pandas python scikit-learn seaborn streamlit
Last synced: 29 Apr 2026
https://github.com/engineertolulope/us_states_living_ranking_analysis
Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.
data-analysis data-science linear-regression machine-learning python scikit-learn
Last synced: 29 Jan 2026
https://github.com/allwin107/loan-prediction-web-app
A Flask-based loan prediction web app using a Random Forest model to predict loan approval based on user input. It includes a clean, responsive UI, form validation, and real-time prediction display.
classification data-processing deployment flask loan-prediction machine-learning python random-forest-classifier scikit-learn web-application
Last synced: 15 Apr 2026
https://github.com/samjoesilvano/airline_ticket_fare_prediction
Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.
airline-fare-prediction data-preprocessing data-visualization feature-engineering feature-selection hyperparameter-tuning machine-learning pandas python random-forest randomizedsearchcv regression-analysis scikit-learn
Last synced: 15 Apr 2026
https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
Last synced: 25 Feb 2026
https://github.com/chengetanaim/beatrecommendersystembackend
A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.
fastapi scikit-learn sqlalchemy unsupervised-learning
Last synced: 06 Feb 2026
https://github.com/beatrizandradeds/sistema-recomendacao-filmes
🎬 Sistema de Recomendação de Filmes usando ML | Vetorização de texto, cosine similarity e NLP com Python
content-based-filtering cosine-similarity data-science data-science-projects machine-learning natural-language-processing nlp portfolio python recommendation-system scikit-learn
Last synced: 29 Apr 2026
https://github.com/lau1944/coronavirus-world-prediction
Coronavirus Case Confirmed Trend Around The World
coronavirus pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 30 Jan 2026
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
https://github.com/nathan-lindstedt/student_risk
Student Success Model (SSM)
fairlearn machine-learning scikit-learn shap student-risk xgboost
Last synced: 30 Jan 2026
https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/diiblo/la-poste-predictive-flux
Prédiction journalière du flux de colis dans les centres de tri de La Poste. Pipeline complet : génération de données, modélisation LightGBM, orchestration via Airflow (Docker), stockage PostgreSQL et dashboard interactif Streamlit. Projet réalisé en Mastère 2 Data Engineering à l’ECE Paris.
airflow docker postgresql scikit-learn streamlit
Last synced: 31 Jan 2026
https://github.com/gunjangyl/iris-detection
The Iris Detection Project classifies different species of Iris flowers using machine learning techniques. It analyzes four key features—sepal length, sepal width, petal length, and petal width—to predict one of three classes: Setosa, Versicolor, or Virginica. The project uses algorithms like KNN, Decision Trees, or SVM for classification. Model pe
knn-classification matplotlib python scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 2026
https://github.com/emv271828/diabetes_cdc_uci_machine_learning
Segunda avaliação para a disciplina de Inteligência Artificial da Universidade Federal Fluminense.
jupyter-notebook machine-learning pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/christiansandovalgarcia01-creator/megaline-plan-classifier
Modelo de clasificación para recomendar plan Smart vs Ultra (Megaline). Split 60/20/20, RandomForest ganador, accuracy TEST ≥ 0.75. Incluye matriz de confusión y classification report. Stack: Python, Pandas, scikit-learn, Jupyter.
classification data-science jupyter-notebook machine-learning python random-forest scikit-learn telecom
Last synced: 15 Apr 2026
https://github.com/as1467/canada-per-capita-income-prediction
This project is a simple machine learning exercise to predict Canada's per capita income based on historical data. The dataset used in this project was sourced from the CodeBasics GitHub repository and is used here to practice linear regression as part of my machine learning learning process.
machine-learning matplotlib-pyplot pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/rooshmica/concrete-compressive-strength-prediction
Concrete Dataset for Regression Model training
linear-regression machine-learning polynomial-regression python rmse-score scikit-learn
Last synced: 15 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/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
Last synced: 01 Feb 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/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/marcusjhang/nvda-timeseriesanalysis
NVDA stock price predictor (WIP)
keras lstm pandas scikit-learn time-series-analysis
Last synced: 15 Apr 2026
https://github.com/sarowarahmed/advertising-sales-app
📈 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/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 Jun 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 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/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/danicaalana/wine-dataset-decision-tree
This project is developed as part of Digital Skill Fair (DSF) 35.0 - Data Science by Dibimbing. I am using Wine Recognition Dataset from scikit-learn, which is the results of a chemical analysis of wines grown in the same region in Italy by three different cultivators.
data data-analysis-python data-science decision-tree-classification machine-learning python scikit-learn wine-dataset
Last synced: 18 Apr 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 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/brossend/automl_bank_project
Automated ML pipeline for the UCI Bank Marketing dataset: ETL, Optuna-based AutoML, model evaluation, MLflow logging, pytest tests, Docker, and CI/CD.
automl bank-marketing binary-classification ci-cd classification data-science docker docker-compose etl github-actions gitlab-ci machine-learning ml-pipeline mlflow model-monitoring optuna pytest python scikit-learn uci-dataset
Last synced: 02 Jun 2026
https://github.com/sachinh123/cognitive-customer-insights-with-watson-ai
This project analyzes customer data to provide insights for personalized services, behavior prediction, and improved support.
flask ibm-cloud ibm-watson-assistant ibm-watson-nlu nltk python scikit-learn
Last synced: 10 Feb 2026
https://github.com/djdhairya/medicine-recommendation-system
csv deep-learning f1-score machine-learning pickle random-forest scikit-learn svc svm
Last synced: 10 Feb 2026
https://github.com/nurulashraf/predictive-maintenance-analysis-for-machine-failure-prevention
Predictive maintenance analysis for machine failure prevention using sensor data and ML. Built a Random Forest model and Gradio dashboard to identify high-risk machines for proactive maintenance.
data-science failure-prediction gradio industrial-iot machine-learning power-bi predictive-maintenance python scikit-learn
Last synced: 16 Apr 2026
https://github.com/sanjiv856/machine_learning_scikit-learn
Repository for machine learning in Python using Scikit-learn.
pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction
Last synced: 27 Feb 2026
https://github.com/cego669/dirtycategoriesencoding
Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.
category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd
Last synced: 11 Feb 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/prajakta1321/seariseiq
Hybrid-Forecasting-and-Trend-Detection-of-Sea-Level-Rise
analysis arima-forecasting colab-notebook exploratory-data-analysis linear-regression logistic-regression machine-learning matplotlib ml pandas python3 qsvm scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/arshc0der/n.o.v.a-geospatial-ozone-predictor
An AI-powered geospatial intelligence dashboard for predicting atmospheric ozone levels using 27 years of NASA data. Features 3D climate mapping and live satellite tracking.
atmospheric-science climate-tech dashboard-ui data-visualization desktop-app geospatial-analysis gis machine-learning matplotlib ozone-prediction pandas python random-forest-regressor satellite-tracking scikit-learn tkinter windows-executable
Last synced: 01 Mar 2026
https://github.com/zsailer/skspline
A Scikit-learn interface on Scipy's spline.
Last synced: 16 Apr 2026
https://github.com/sergeimakarovv/energy-data-analytics-ml
Analyzing global data on sustainable energy, predicting CO2 emissions per capita
machine-learning pandas plotly python scikit-learn streamlit
Last synced: 12 Feb 2026
https://github.com/manjit-baishya-datascience/spam-email-detection
This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.
imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection
Last synced: 12 Feb 2026
https://github.com/steciuk/lnr-hurftul-humor-detector
Hurtful Humor Detector
humor-detection machine-learning nlp prejudice python scikit-learn transformers
Last synced: 16 Apr 2026
https://github.com/mzohaib364/house-price-prediction-model
End to End ML Project with Scikit Learn
cross-validation decision-tree-regression linear-regression random-forest-regression scikit-learn
Last synced: 13 Feb 2026
https://github.com/gliuck/diabetesprediction
Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.
machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn
Last synced: 14 Feb 2026
https://github.com/mattia-hulathduwage/wine-quality-analyzer
A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/hlexnc/project-arepo
Data-driven stroke risk assessment & personalized recommendations, powered by machine-learning and an NLU-driven chatbot.
chatbot data-analysis docker docker-compose machine-learning nlu-chatbot python rasa scikit-learn sklearn streamlit
Last synced: 15 Feb 2026
https://github.com/mgesteban/analyzing_car_prices
A comprehensive data science project analyzing factors that drive used car prices to provide actionable insights for used car dealerships.
crisp-dm data-science lasso-regression linear-regression machine-learning one-hot-encoding pandas ridge-regression scikit-learn
Last synced: 15 Feb 2026
https://github.com/pranav-nagpure/plant-disease-prediction-nb
IPython Notebook to build the model for Plant Disease Prediction
efficientnet image-augmentation ipython-notebook keras-tensorflow machine-learning scikit-learn
Last synced: 15 Feb 2026
https://github.com/paultheal1en/dsc-fact-checking
Fact-checking project classifying claims as SUPPORTED, REFUTED, or NEI. Uses ANN, DNN, RNN, CNN, Random Forest, PhoBERT, and Sentence Transformers.
deep-learning fact-checking keras machine-learning nlp phobert random-forest scikit-learn sentence-transformers tensorflow transformers
Last synced: 16 Apr 2026
https://github.com/sridharyadav07/machine-learning-project-combined-cycle-power-plant-
This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.
data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn
Last synced: 16 Apr 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/lorenzorottigni/ml-advertising
Machine Learning python bootcamp: logistic regression on advertising dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
Last synced: 16 Apr 2026
https://github.com/piotrwnuczek/cloudprediction
Predicting cloud task execution time using AI/ML
matplotlib pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/silky-x0/spam-detector
An machine learning algorithm to detect spam emails or such.
jupyter-notebook nltk-python pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/sergeimakarovv/solar-panel-detection
Applying deep learning models to detect solar panel installations in satellite imagery and estimating their generation capacity
albumentations convolutional-neural-networks deep-learning geopandas pandas pvlib python pytorch rasterio scikit-learn wms-service
Last synced: 16 Apr 2026
https://github.com/drkbluescience/wids2024_challenge2_metastaticdiagnosisregression
This notebook presents an exploratory data analysis (EDA) and regression modeling approach for the WiDS Datathon 2024 Challenge #2.
catboost data-visualization ensemble-learning exploratory-data-analysis imputation-methods kfold-cross-validation machine-learning metastatic-breast-cancer regression-models scikit-learn tabular-data women-in-data-science
Last synced: 16 Apr 2026
https://github.com/pierluigi-failla/pipesnake
a pandas sklearn-inspired pipeline data processor
feature-engineering feature-extraction pandas pipeline pipeline-data-processor python scikit-learn
Last synced: 03 Mar 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/nitor-infotech-oss/aiml-data-processing
Data Processing Algorithms
aiml numpy pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/ry4ngch/dsml
Data Science and Machine Learning Repository
data-science data-science-projects jupyter-notebook knn-classification machine-learning neural-network python regression scikit-learn supervised-learning unsupervised-learning
Last synced: 16 Apr 2026
https://github.com/dan-niles/iris-ml
Machine learning on the Iris dataset
iris-dataset machine-learning scikit-learn
Last synced: 16 Apr 2026
https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 27 Mar 2026
https://github.com/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit
Last synced: 01 Apr 2026
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/sanikamal/deep-learning-atoz
A collection of deep learning architectures ,model, code snippets, tips and mini projects.
computer-vision deep-learning nlp scikit-learn skimage tensorflow
Last synced: 16 Apr 2026
https://github.com/bkamapantula/discover
Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.
developer-tools python scikit-learn tf-idf
Last synced: 16 Apr 2026
https://github.com/grupoguerreroherrera/ethical-ai-recruitment-audit
Bias audit toolkit reproducing the recruitment AI case from Activity 6 — Unidad 3, Electiva II Inteligencia Artificial Avanzada. Empirical analysis with reweighing mitigation, Model Card documentation, and APA 7 references.
academic-project algorithmic-auditing artificial-intelligence bias-mitigation disparate-impact ethical-ai fairness machine-learning model-card python random-forest recruitment-bias reweighing scikit-learn unesco-ai-ethics
Last synced: 03 Jun 2026
https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 2026
https://github.com/ejw-data/proj-food-inspections
Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.
decision-trees pandas preprocessing python scikit-learn
Last synced: 17 Apr 2026
https://github.com/archismwanchatterjee/football-match-prediction
Football Match Predictor for top leagues
ensemble-machine-learning machine-learning pandas random-forest-classifier rmse-score scikit-learn streamlit
Last synced: 17 Apr 2026
https://github.com/erikglz/coap-mtd
Repository for an IoT security project implementing Moving Target Defense (MTD) through CoAP protocol randomization to mitigate spoofing attacks and enhance adaptive security.
coap-protocol cybersecurity iot machine-learning python scikit-learn spoofing
Last synced: 17 Apr 2026
https://github.com/zenklinov/regression_logistic_-_sentiment_analysis_movie_data
This repository contains code for performing sentiment analysis using scikit-learn and logistic regression
llm natural-language-processing nlp nltk scikit-learn sentiment-analysis
Last synced: 10 May 2026
https://github.com/danicc097/python-ml-app
Various [arguably useless] Machine Learning services with gRPC and OpenTelemetry for demo purposes
grpc-python opentelemetry scikit-learn
Last synced: 17 Apr 2026
https://github.com/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/amirmohammadgholampour/mall-customer-segmentation
Project for segmenting customers in a shopping mall using the Clustering algorithm.
numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/raphael-ufrj/analise_algodao
Análise histórica de plantio de algodão, analise do plantio com base no clima e nos dados históricos.
analysis data-science data-visualization dataset docker pandas provenance python python3 scikit-learn seaborn streamlit
Last synced: 02 Apr 2026
https://github.com/anshvaid4/ml_practice
This is the new repository, where I have added all the notebooks demonstrating the usage of various transformers and models for Supervised and Unsupervised algorithms
anaconda jupyter-notebook machine-learning machine-learning-algorithms python scikit-learn
Last synced: 17 Apr 2026
https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).
colab-notebook numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
Last synced: 02 Apr 2026
https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/mayankyadav23/shipment-pricing-prediction
Shipment Pricing Prediction 📦🔍 is a machine learning project that forecasts shipment prices based on various supply chain factors. Using advanced regression models, it provides valuable insights 📊 to optimize pricing strategies in the supply chain analytics domain.
data-visulization flask ineuron-ai machine-learning python scikit-learn shipment-and-pricing
Last synced: 02 Apr 2026
