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/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
Last synced: 30 Jan 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/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/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/marcusjhang/nvda-timeseriesanalysis
NVDA stock price predictor (WIP)
keras lstm pandas scikit-learn time-series-analysis
Last synced: 15 Apr 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/sabin74/fake_news_detection
This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.
fake-news-detection kaggle-dataset multinomial-naive-bayes passive-aggressive-classifier python3 regex scikit-learn
Last synced: 16 Apr 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/zsailer/skspline
A Scikit-learn interface on Scipy's spline.
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/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/meiyor/abatech_ai_test
This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.
keras python scikit-learn scikitlearn-machine-learning tensorflow
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/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 01 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/pranav-nagpure/dog-breed-prediction-nb
IPython Notebook to build the model for Dog Breed Prediction
ipython-notebook keras-tensorflow machine-learning scikit-learn transfer-learning xception-net
Last synced: 03 Mar 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/capsuleismail/income-census-prediction
Predict whether annual income of an individual exceeds $50K per annum based on census data. Also known as "Census Income" dataset.
datascience jupyter-notebook machinelearning-python scikit-learn
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/drorata/mnist-examples
ML examples for the MNIST dataset
machine-learning ml mnist python scikit-learn torch
Last synced: 19 Apr 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/junya737/weighted-pls-regression
A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.
machine-learning partial-least-squares-regression scikit-learn
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/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
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/abhishek-k-git/soulmegle
expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss
Last synced: 01 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/vaishnavis03/finlatics_ml_program
This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.
correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn
Last synced: 17 Apr 2026
https://github.com/dimdasci/car-price-prediction-demo
Demo project of EDA and regression task solution: Pandas, Jupyter Notebook, Scikit-learn, LightGBM
eda lightgbm-regressor regression scikit-learn
Last synced: 03 Jun 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/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
Last synced: 02 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/broodhoney/blue-book-for-bulldozers
This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.
matplotlib 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/isshiki/machine-learning-with-python
連載『Pythonで学ぶ「機械学習」入門』（＠IT）で使用するノートブックが配布されているリポジトリです。
data-science machine-learning machinelearning-python 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/soroush-04/apple-stock-prediction
CNN-LSTM model for stock price prediction
convolutional-neural-networks keras machine-learning python scikit-learn tensorflow
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
https://github.com/nathan-lindstedt/randomization_tests
Permutation Methods for Nonprobability Data
jax nonparametric-statistics nonprobability-sampling permutation-test randomization-test scikit-learn uci-ml-repository
Last synced: 17 Apr 2026
https://github.com/otuemre/obesity-classification
Machine learning project to classify obesity levels based on health metrics like age, sex, height, weight, and BMI.
classification data-science healthcare machine-learning obesity-classification scikit-learn
Last synced: 17 Apr 2026
https://github.com/a-poor/sample-model-serve
Demo for using Flask to serve a scikit-learn model as an API
api data-science docker flask machine-learning scikit-learn
Last synced: 30 Apr 2026
https://github.com/nikhilgugwad/sentiment-analysis
Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.
Last synced: 17 Apr 2026
https://github.com/ngangawairimu/linear-regression-
This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.
data-analysis linear-regression machine-learning predictive-modeling python scikit-learn
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/rohansardar/speechflowguard
A machine learning web API that detects toxic language in user comments using classical ML
docker logistic-regression machine-learning python3 scikit-learn tf-idf tfidf-text-analysis tfidf-vectorizer
Last synced: 17 Apr 2026
https://github.com/mangesh-balkawade/pythonautomationsscripts
This is the repository which contains the python automations scripts and machine learning case studies , and Python Projects that I have write to learn automations and ML using python.
automation data-science machine-learning-algorithms matplotlib mongodb pandas python3 scikit-learn seaborn webscraping
Last synced: 13 Apr 2026
https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning
A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.
deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow
Last synced: 03 Apr 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/pablonunes/houseprediction
This a simple model to predict housing price in King County in Washingthon. Uses Scikit Learn, Numpy. Seaborn, Pandas, Scipy.
housing-data housing-prices scikit-learn scikitlearn-machine-learning seaborn
Last synced: 17 Apr 2026
https://github.com/yelamankarassay/personal-health-wellness-dashboard
A Streamlit-based dashboard for visualizing and analyzing personal daily data—weight, mood, meals, sleep, and more. This project uses pandas, plotly, matplotlib, seaborn, scikit-learn, and wordcloud to present insights about your health and daily habits.
matplotlib pandas plotly scikit-learn seaborn wordcloud
Last synced: 17 Apr 2026
https://github.com/vyjayanthipolapragada/logistic_regression_classifier
Built a classifier using Logistic Regression model to classify different species of flowers
cancer-classification classification data-science flower-classification jupyter-notebook logistic-regression pandas python scikit-learn
Last synced: 17 Apr 2026
https://github.com/belzebu013/prever_nivel_colesterol
Projeto de IA com algoritmo de Regressão Linear múltipla para prever o nível de colesterol de um individuo.
ia jupiter-notebook pandas python regressao-linear-multipla scikit-learn
Last synced: 17 Apr 2026
https://github.com/jatin-mehra119/heart_disease_predictor
Data Analysis, Model Training, Model Deployment.
classification-algorithm dataanalysis datascience-machinelearning modeltraining scikit-learn streamlit-webapp
Last synced: 17 Apr 2026
https://github.com/mryutaro/spla3clip
spla3clip: キル・デスした時刻を自動で解析するスプラトゥーン3用ツール
fastapi python react scikit-learn typescript
Last synced: 04 Apr 2026
https://github.com/rickyarians/ai-ml-nlp
Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project
deep-learning machine-learning modeling python scikit-learn tensorflow
Last synced: 04 Apr 2026
https://github.com/shaharband/calcofi-oceanographic-analysis
This repository contains an analysis of the CalCOFI (California Cooperative Oceanic Fisheries Investigations) dataset, which represents one of the longest and most complete time series of oceanographic and larval fish data in the world.
pandas regression scikit-learn
Last synced: 10 May 2026
https://github.com/snikumbh/archr
archR: Identifying promoter sequence architectures de novo using NMF
archr discovery nmf non-negative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-architectures unsupervised-machine-learning
Last synced: 18 Apr 2026
https://github.com/mnj-tothetop/english-handwritten-characters-recognizer
A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.
artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow
Last synced: 18 Apr 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/minhtran241/ml-dl-llm-genai
Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.
deep-learning generative-ai llm machine-learning paper-implementations pytorch scikit-learn
Last synced: 18 Apr 2026
https://github.com/justsecret123/nba-players-stats-analysis
A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀
csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn
Last synced: 18 Apr 2026
https://github.com/gattsu001/telecom-churn-predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
churn-prediction classification classification-algorithm customer-retention data-science data-visualization feature-engineering joblib jupyter-notebook machine-learning pandas scikit-learn supervised-learning svm
Last synced: 18 Apr 2026
https://github.com/rescurib/random_forest_arduino_uno
Ejemplo de implementación de un clasificador de bosque aleatorio en un Arduino UNO usando scikit-learn y m2cgen.
Last synced: 18 Apr 2026
https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-
Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.
data-science machine-learning python regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit
Last synced: 04 Apr 2026
https://github.com/sentinel-ml/sentinel_ai
Machine Learning Model to detect fraud in financial systems
ai python pytorch scikit-learn security security-tools tensorflow
Last synced: 04 Apr 2026
https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 04 Apr 2026
https://github.com/adhadse/hands-on-machine-learning-book-notes-and-practice
This repo holds the Jupyter notebooks and datasets containing notes/comments on things I learned from this book. Feel free to use and learned from them.
data-science deep-learning jupyter-notebooks keras machine-learning python scikit-learn tensorflow
Last synced: 04 Apr 2026
https://github.com/kaladabrio2020/livro-ml-with-pytorch-and-sk
Progresso em cada capitulo
jupyter-notebook matplotlib-pyplot nump pandas python3 pytorch scikit-learn
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
Last synced: 04 Apr 2026
https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/anushrey10/fuel_efficiency_predictor
Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.
decision-tree gradient-boosting-classifier html-css-javascript linear-regression machile-learning matplotlib python random-forest scikit-learn tailwindcss
Last synced: 18 Apr 2026
https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance
Student Alcoholism and Academic Performance Data Analysis
Last synced: 18 Apr 2026
https://github.com/giacomolat/object-detection-sperimental-thesis-for-degree
In this repository is my experimental thesis work on the recognition of museum works through object detection techniques.
convolutional-neural-networks detectron2 jupyter-notebook machine-learning neural-networks object-detection python pytorch rcnn rcnn-model scikit-learn
Last synced: 18 Apr 2026
https://github.com/eugen-goebel/predictive-analytics-agent
Automated ML pipeline — data profiling, preprocessing, model training, and evaluation report generation
automation data-science docker machine-learning predictive-analytics python scikit-learn streamlit
Last synced: 05 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
Last synced: 18 Apr 2026
https://github.com/akhundmuzzammil/energyconsumptionprediction
This repository contains code and resources for training a linear regression model to predict energy consumption based on various building parameters.
data-analysis energy-consumption linear-regression machine-learning python scikit-learn streamlit visualization
Last synced: 18 Apr 2026
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 05 Apr 2026
