scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2026-07-02 00:27:34 UTC
- JSON Representation
https://github.com/antonio-f/housing-simplemlexample
Basic example with California Housing Prices dataset from the StatLib repository using scikit-learn
housing-simplemlexample machine-learning scikit-learn simple
Last synced: 01 May 2026
https://github.com/k-karna/ml-scikit
Machine Learning feature engineering through Scikit-Learn
cross-validation-grid-search dimensionality-reduction gradient-boosting machine-learning poisson-regression python3 scikit-learn t-sne
Last synced: 01 May 2026
https://github.com/30mb1/ml-linear-algorithms
Using linear models for classification.
classification linear-algorithms linear-models machine-learning machine-learning-algorithms matplotlib perceptron quality scikit-learn scikitlearn-machine-learning svm svm-classifier
Last synced: 01 May 2026
https://github.com/luthfiwulandari/machine-learning-breast-cancer
This project is a simple application that uses logistic regression to detect breast cancer. It classifies tumors as either malignant or benign based on the dataset provided by Scikit-learn.
datascience jupyter logistic-regression machine-learning python scikit-learn
Last synced: 01 May 2026
https://github.com/clinton-mwachia/machine-learning-with-python
machine learning with python
machine-learning python regression scikit-learn
Last synced: 01 May 2026
https://github.com/jlee9503/medical-readmission
Conduct an analysis of medical readmission status using hospital patient data and the Social Determinants of Health dataset. Identify key factors influencing readmission rates to provide insights for improving healthcare outcomes.
python random-forest-regression scikit-learn tableau
Last synced: 01 May 2026
https://github.com/aadrianleo/chargehub-berlin
A Crowdsourcing App for Charging Infrastructure in Berlin "ChargeHub Berlin"
charging-station-berlin charging-stations factor-analyzer folium folium-maps geopandas pytest python python3 scikit-learn seaborn streamlit streamlit-application streamlit-folium streamlit-web streamlit-webapp unit-testing
Last synced: 01 May 2026
https://github.com/dhruvv1402/spam-detection-python-
This project is a Spam Detection System built using Python. It classifies SMS messages as spam or ham (not spam) using machine learning techniques.
countvectorizer kaggle-dataset nlp-machine-learning nltk numpy pandas python scikit-learn supervised-machine-learning tf-idf
Last synced: 01 May 2026
https://github.com/danishzulfiqar/language-detection-nlp-model
This machine learning model is designed to accurately detect and classify text in 18 languages using NLP
fastapi jupyter-notebook machine-learning natural-language-processing scikit-learn
Last synced: 01 May 2026
https://github.com/anastasiaschmidt1/sqli-detection-ml
UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)
bht-berlin machine-learning scikit-learn sqli svm
Last synced: 02 May 2026
https://github.com/maxwelllzh/linearizer
Linearizing parameters for linear regression
data-analysis machine-learning scikit-learn
Last synced: 02 May 2026
https://github.com/mohammed-majid/logistic-binary-email-classification
Binary Classification of spam/ham emails
binary-classification logistic-regression scikit-learn
Last synced: 02 May 2026
https://github.com/tetsumichiumada/customer_segments
Identify customers by clustering them
machine-learning python scikit-learn unsupervised-learning
Last synced: 02 May 2026
https://github.com/luizassimoes/sklearn-kaggle-titanic
This repository was created to store all the code for tackling the Titanic challenge on Kaggle.
kaggle machine-learning scikit-learn
Last synced: 02 May 2026
https://github.com/dmschauer/aws-sagemaker-deployment-test
I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.
aws boto3 python sagemaker scikit-learn
Last synced: 02 May 2026
https://github.com/sundanc/btcprediction
Predict Bitcoin prices based on historical data using machine learning techniques
bitcoin-prediction keras machine-learning pandas python python3 scikit-learn scikitlearn-machine-learning
Last synced: 02 May 2026
https://github.com/vutsalsinghal/churn-prediction
Predict if a customer will stay or not
data-science jupyter-notebook machine-learning pandas python scikit-learn
Last synced: 02 May 2026
https://github.com/bishopce16/cryptocurrencies
An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.
hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code
Last synced: 02 May 2026
https://github.com/pierrekieffer/datapreprocessing
Custom data preprocessing library made for machine learning
data-preparation data-preprocessing machine-learning preprocessing scikit-learn
Last synced: 02 May 2026
https://github.com/gperdrizet/recommender-system-streamlit
Streamlit deployment of K-nearest neighbors movie recommendation system to Render.
ci-cd data-science github-actions github-workflows k-nearest-neighbors machine-learning natural-language-processing pytest python recommender-system render scikit-learn tf-idf
Last synced: 03 May 2026
https://github.com/jofaval/red-wine-quality
Data Analysis of the Red Portuguese's Wine's Quality in 2009
classification data-analysis data-science data-visualization google-colab kaggle logistic-regression machine-learning python scikit-learn wine-quality xgboost
Last synced: 03 May 2026
https://github.com/namratha2301/cognitiveemotion
Identifying Emotions from EEG Activity
data-science gru matplotlib python3 scikit-learn seaborn tensorflow xgboost
Last synced: 03 May 2026
https://github.com/moritzkoerber/data_science_posts
This repository hosts the code for my data science related blog posts.
hyperparameter-tuning machine-learning pipeline python scikit-learn
Last synced: 03 May 2026
https://github.com/mehtadigisha/iris-flower-classification
Iris Flower Classification
accuracy-score classification-report data-analysis data-visualization eda iris-classification machine-learning matplotlib pandas prediction python scikit-learn seaborn svc-model svm-model visualization
Last synced: 03 May 2026
https://github.com/insane-group/scikit-learn-template
Generic template to bootstrap your scikit-learn project
Last synced: 03 May 2026
https://github.com/viniciusds2020/ml_pycaret_classificacao
Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops
machine-learning mlops preprocessing pycaret python scikit-learn
Last synced: 03 May 2026
https://github.com/rohitinu6/tesla-price-prediction
A machine learning project that predicts future stock price movements using Logistic Regression, SVC, and XGBoost with engineered financial features.
data-analysis data-visualization feature-engineering financial-analysis logistic-regression machine-learning matplotlib python scikit-learn seaborn stock-market stock-price-prediction support-vector-machine time-series xgboost
Last synced: 03 May 2026
https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
anaconda matplotlib numpy pandas plotly scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/alessandromonolo/fraud-detection-binary-classification-model
This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.
classification-model fraud-detection knn-classification machine-learning pandas python random-forest scikit-learn statistical-analysis
Last synced: 03 May 2026
https://github.com/bahailime/breast-cancer-ml
🦠 Breast cancer survival prediction (notebook + streamlit)
breast-cancer-prediction csv gaussian-processes ipywidgets jupyter-notebook lightgbm linear-discriminant-analysis machine-learning ml python random-forest scikit-learn shap streamlit svc
Last synced: 03 May 2026
https://github.com/arrhythmia-detection/authorprovidedfeaturescombineddt
Deploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
arduino-uno arrhythmia-classification atmega328p chapman-ecg decision-tree-classifier eloquent scikit-learn
Last synced: 09 Jun 2026
https://github.com/albertodiazdurana/traveline-ds-project-skeleton
Minimal Python DS project skeleton (rebooking prediction): src-layout, sklearn, MLflow, FastAPI, Docker, GitHub Actions CI. Includes an intentional data-leakage bug for code-review demos.
data-science-skeleton docker fastapi github-actions machine-learning mlflow pydantic pytest python scikit-learn
Last synced: 09 Jun 2026
https://github.com/zhenglinlei/zdmp
Industry 4.0 Optimization with Machine Learning AI
industry-4 knn-classification machine-learning pandas python scikit-learn
Last synced: 03 May 2026
https://github.com/srisaihariharan/mic_sentiment_analysis_v
Sentiment analysis of IMDb movie reviews using Python, Scikit-learn, and TF-IDF.
machine-learning natural-language-processing nlp python scikit-learn sentiment-analysis sentiment-classification
Last synced: 03 May 2026
https://github.com/apfirebolt/movie_recommendation_using_scikitlearn_and_pyqt5
A movie recommendation system built using KNN model from scikit-learn library. GUI components are powered by pyQt5, a library to create GUI applications in Python
cosine-similarity jupyter-notebook knn-algorithm movie-recommedation pandas python scikit-learn
Last synced: 03 May 2026
https://github.com/abdiasarsene/predictive-churn-management-data-driven-customer
Use unsupervised learning techniques to segment a company’s customers into distinct groups in order to personalize marketing campaigns. To ultimately propose specific marketing strategies for each customer segment based on the insights obtained.
acp kmeans-clustering matplotlib pandas plotly python scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi
Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode
framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer
Last synced: 03 May 2026
https://github.com/pramodyasahan/binary-classifier
This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.
Last synced: 03 May 2026
https://github.com/jonad/finding_donors
Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/alestankiewicz/credit-card-fraud-detection
Credit Card Fraud Detection Excercise In Python
pandas plotly python3 scikit-learn xgboost
Last synced: 03 May 2026
https://github.com/gaarutyunov/savn-project
Community detection in large open source projects
community-detection gephi graph graphql jupyter-notebook networkx python3 scikit-learn sqlachemy
Last synced: 03 May 2026
https://github.com/arnavk-09/phishing-detection
🎣 Detect Phishing URLs with Data Pre-fitted... API & Web UI
csv data fastapi flask python scikit-learn
Last synced: 03 May 2026
https://github.com/thmslmr/scikitlearn-examples
💡Scikit Learn examples - Python
Last synced: 03 May 2026
https://github.com/srilaasya/breast-cancer-classifier
Used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer
knearest-neighbor-classifier python scikit-learn
Last synced: 03 May 2026
https://github.com/atchayaah/home-value-insights-kc
Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.
joblib matplotlib numpy pandas pickle python scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/martn2023/housing-prices-ml-supervised-learning
My first end-to-end ML/supervised learning project: housing price estimation
data-science data-visualization decision-tree end-to-end-machine-learning linear-regression machine-learning matplotlib pandas predictive-analytics random-forest scikit-learn supervised-learning
Last synced: 03 May 2026
https://github.com/darenr/gradientboostingmachines
Notebooks exploring strengths and weaknesses of GBM based classifiers
jupyter-notebook lightgbm pandas scikit-learn xgboost
Last synced: 03 May 2026
https://github.com/stefan-500/ml-network-traffic-classification-unsw-nb15
Network traffic classification using Machine Learning
classification machine-learning network-traffic-classification python scikit-learn support-vector-machines svc-model unsw-nb15-dataset
Last synced: 03 May 2026
https://github.com/lucs1590/commom_segmentations
The purpose of this repository is to document and expose code samples using common threading techniques.
computational-vision machine-learning open-source opencv python scikit-image scikit-learn segmentation sklearn
Last synced: 03 May 2026
https://github.com/samarth4023/shell-internship-2
🤖 AICTE Shell Internship - NLP Chatbot This repository contains the implementation of a Chatbot using NLP, developed as part of the AICTE Shell Internship. The chatbot is designed to understand and respond to user queries using Natural Language Processing (NLP) techniques.
ai artificial-intelligence chatbot natural-language-processing nlp nltk python scikit-learn streamlit
Last synced: 04 May 2026
https://github.com/ceodaniyal/telecom_customer_churn_prediction
A machine learning project that predicts whether a telecom customer will churn (leave the service) using customer demographics, account information, and service usage. The repository includes data preprocessing, model training (with logistic regression), feature scaling, and example predictions.
classification customer-churn-prediction data-science logistic-regression machine-learning ml-project pandas prediction python scikit-learn streamlit telecom
Last synced: 04 May 2026
https://github.com/abdullahalzubaer/feature-selection-ranking
In-depth analysis regarding feature selection and ranking.
feature-ranking feature-selection random scikit-learn
Last synced: 04 May 2026
https://github.com/codejsha/machine-learning-examples
Examples of machine learning using scikit-learn
Last synced: 04 May 2026
https://github.com/vyclarks/gestational-diabetes-prediction-ml
Predicting gestational diabetes from the Pima dataset — Python (scikit-learn); reproducible notebook, metrics, and report.
healthcare-analysis machine-learning python scikit-learn
Last synced: 04 May 2026
https://github.com/baponkar/scikit-logisticregression-application
A simple and detail application analysis of sci kit learn LogisticRegression model .
classification-algorithm logistic-regression machine-learning python3 scikit-learn
Last synced: 04 May 2026
https://github.com/danielwohlr/delivery_time_series
Time series forecasting of food delivery service data
forecasting-time-series python scikit-learn
Last synced: 04 May 2026
https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/homebackend/pdf-title-page-splitter
Splits a pdf based on identified title pages using ML trained model
machine-learning opencv pdf-splitter pdf2image pypdf2 scikit-learn tensorflow
Last synced: 04 May 2026
https://github.com/marionchaff/real-estate-price-prediction-france
Real estate price prediction using French public database DVF
data-analysis dvf-data machine-learning price-prediction python real-estate scikit-learn
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
balanced-random-forest-classifier decission-tree-classifier gradient-boosting imbalanced-learning joblib logistic-regression matplotlib numpy random-forest-classifier scikit-learn seaborn streamlit
Last synced: 04 May 2026
https://github.com/satvikpraveen/sklearn-mastery
Enterprise-grade ML framework showcasing advanced Scikit-Learn implementations with production-ready pipelines, algorithm-optimized synthetic data generation, comprehensive evaluation suite with statistical testing, custom transformers, ensemble methods, and real-world industry applications across healthcare, finance, and manufacturing domains.
artificial-intelligence ci-cd classification custom-transformers data-science docker ensemble-methods feature-engineering fintech fraud-detection healthcare-ai hyperparameter-tuning jupyter-notebooks machine-learning mlops model-evaluation pipeline-architecture predictive-maintenance python scikit-learn
Last synced: 04 May 2026
https://github.com/joel-beck/airbnb-oslo
Price Prediction Models for Airbnb Apartments in Oslo | Winter Term 2021/22
prediction python pytorch scikit-learn
Last synced: 04 May 2026
https://github.com/bhawnamehbubani/airline-passenger-referral-program-development-with-classification-techniques
Prediction of airline passenger referrals using Logistic Regression, GridSearchCV, and TF-IDF vectorization with Python, Pandas, Scikit-learn, and Excel.
excel gridsearchcv logistic-regression pandas python3 scikit-learn tf-idf-vectorization
Last synced: 04 May 2026
https://github.com/keven-rdr/rio-airbnb-predictor
Estudo de IA, utilizando modelos de previsão como o regressor para determinar valor de imóvel
airbnb ia kaggle php price regression-models scikit-learn
Last synced: 04 May 2026
https://github.com/suguru-n/temp_easyai
学部生向け機械学習体験プログラム
google-colab jupyter-notebook linearregression python scikit-learn
Last synced: 04 May 2026
https://github.com/dakii24/credit-card-fraud-detection
This repository contains a machine learning project focused on detecting fraudulent credit card transactions. The project includes data preprocessing, model training, and evaluation to identify and prevent fraudulent activities.
capstone-project class-imbalance classification-algorithm credit-card credit-card-fraud data-science decision-trees fraud machine-learning open-data python scikit-learn svm svm-classifier
Last synced: 04 May 2026
https://github.com/themusharraf/ml-app
machine-learning ml pandas scikit-learn
Last synced: 04 May 2026
https://github.com/madhu26sree/diabetes-prediction
This project leverages the Support Vector Machine (SVM) algorithm to predict whether a person is likely to have diabetes or not, using the Diabetes dataset. It covers data preprocessing, model building, evaluation using Python.
machine-learning python scikit-learn
Last synced: 04 May 2026
https://github.com/drod75/nyc-arrests-analysis
This is a simple Data Science Project made to analyze and display data and trends found within the NYC Arrests Year to Date Dataset.
data-analysis data-visualization folium jupyter-notebook matplotlib-pyplot nyc-opendata nypd python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/msikorski93/protein-tertiary-structure
Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).
bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow
Last synced: 04 May 2026
https://github.com/chathumiamarasinghe/nn-training-model
A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.
jupyter-notebook matplotlib numpy phyton scikit-learn
Last synced: 04 May 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/siddhantborse/atmosviz
Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco
geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data
Last synced: 05 May 2026
https://github.com/sxv357/xtern-artificial-intelligence-work-based-assessment
This application takes in data regarding undergraduate college students in the state of Indiana such as their year, what major they're pursuing, which university they attend, and makes a prediction about their food order.
jupyter-notebook matplotlib pandas pickle scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines
Last synced: 05 May 2026
https://github.com/pierrealexandre78/deathpredict
Predict Hospital mortality rate using Machine Learning for patients admitted in ICU (Intensive Care Unit)
healthcare hospital machine-learning predictions python random-forest-classifier scikit-learn xgboost-classifier
Last synced: 05 May 2026
https://github.com/jcm-ai/personal-data-science-projects
This page contains all of my personal data science projects. 📊📈📉👨💻
data-analysis data-visualization exploratory-data-analysis jupyter-notebooks machine-learning-algorithms matplotlib-pyplot numpy-library pandas-python personal-project predictive-modeling programming python3 scikit-learn scipy seaborn statistical-analysis
Last synced: 05 May 2026
https://github.com/thekartikeyamishra/resumeevaluatorapp
The Automated Resume Evaluator is a Python-based application that helps evaluate resumes against job descriptions. It calculates an Applicant Tracking System (ATS) score, which is the percentage of keywords from the job description found in the resume.
flask machine-learning matplotlib nlp nltk pypdf python scikit-learn spacy textblob
Last synced: 05 May 2026
https://github.com/himanshkr03/comparative_performance_on_fashionmnist
This repository explores various machine learning and deep learning models for classifying images from the Fashion MNIST dataset. It includes data exploration, model training, evaluation, and visualization techniques to gain insights into the classification task.
deep-learning fashion-mnist fine hybrid-model image-classification keras machine-learning scikit-learn tensorflow xgboost-algorithm
Last synced: 05 May 2026
https://github.com/simpl1fy/spam-classifier-project
A web application to classify spam texts or emails.
multinomial-naive-bayes nltk python render scikit-learn text-classification
Last synced: 05 May 2026
https://github.com/s-matke/eco-forecast
Machine learning model used for predicting European country with most green surplus energy generated
data-science green-energy machine-learning scikit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/hallowshaw/text-emotion-classification-using-lstm-and-tokenization
This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.
emotion-classification emotion-detection feature-engineering lstm nltk nltk-python scikit-learn scikitlearn-machine-learning sentiment-analysis sequential-models text-classification text-classification-multi-label tokenization tokenizer
Last synced: 05 May 2026
https://github.com/anu-gtb/sleep_disorder_pred
Link to DagsHub repository :
dagshub data-science dvc-pipeline hyperparameter-tuning machine-learning mlflow mlflow-ui mlops predictive-modeling python3 random-forest-classifier scikit-learn sleep-disorders
Last synced: 05 May 2026
https://github.com/antonio-f/ridge_regression_example
Easy Ridge Regression example
easy matplotlib-pyplot polynomial-regression python ridge-regression scikit-learn tutorial
Last synced: 05 May 2026
https://github.com/kriss024/anaconda-python-for-data-science-basic
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
anaconda3 data-science docker jupyter-notebook machine-learning python python3 scikit-learn tensorflow2
Last synced: 05 May 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale
Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.
ai esp32 micropython micropython-esp32 python school-project scikit-learn
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/monish-nallagondalla/universal-bank
Credit Card Ownership Prediction A machine learning project that predicts credit card ownership using features like age and income, balancing class distributions for improved accuracy.
classification-models credit-card-prediction data-analysis data-classification decision-tree-classifier imbalanced-datasets machine-learning model-evaluation python scikit-learn
Last synced: 05 May 2026
https://github.com/smaddanki/pattern-pursuit-challenge
A personal challenge to build a production-ready trading signal system for S&P 500 stocks using deep learning. This project progresses from basic ML models to a complete trading infrastructure, focusing on 5-day forward return prediction and signal generation.
deep-learning machine-learning pytorch quantative-trading quantitative-finance quantitative-research scikit-learn
Last synced: 05 May 2026
https://github.com/markdouthwaite/lingo-demo
A demo project showing how to effectively deploy Scikit-Learn Linear Models in Go into Google Cloud Run.
go golang google-cloud-platform python scikit-learn
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/akash-47-tank/personalized-e-commerce-review-summarizer
Personalized E-commerce Product Review Summarizer: A Streamlit app that summarizes product reviews (e.g., from a CSV) using T5-small and tailors summaries to user preferences (price, durability, etc.) with NLP and lightweight ML.
data-analysis e-commerce machine-learning nlp personalization portfolio python scikit-learn sentiment-analysis streamlit t5 transformers web-app
Last synced: 05 May 2026
https://github.com/teja-1403/coursera-machine-learning-with-python-honors
This project involves building a classifier to predict rainfall for the next day based on weather data from the Australian Government's Bureau of Meteorology. Various machine learning techniques such as Linear Regression, KNN, Decision Trees, Logistic Regression, and SVM were implemented and evaluated.
classification hierarchical-clustering machine-learning regression scikit-learn scipy
Last synced: 05 May 2026
https://github.com/zuhairzia/customer-segmentation
📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.
joblib matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/rohra-mehak/sciencesync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3
Last synced: 05 May 2026
