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/ayaarbi/prediction_des_maladies_cardiovasculaires_avec_ml
Ce projet, développé au sein de cours de Machine Learning, utilise des algorithmes de classification supervisée pour prédire la présence de maladies cardio-vasculaires à partir de données médicales publiées sur Kaggle.
cardiovascular-diseases jupyter-notebook machine-learning matplotlib pandas python scikit-learn
Last synced: 07 May 2026
https://github.com/z-fran/walmart-store-sales-forecasting
Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.
machine-learning sales-analysis sales-forecasting sales-prediction scikit-learn walmart-sales-forecasting
Last synced: 07 May 2026
https://github.com/garimarao24/customer-churn-project
This repository contains a Customer Churn Prediction project that leverages Machine Learning techniques to predict customer churn and segment customers using clustering.
customer-churn kmeans-clustering logistic-regression machine-learning pca scikit-learn
Last synced: 07 May 2026
https://github.com/rishi035/advanced-house-price-predictions
This is my First Project and also participated in kaggle competition
linear-regression machine-learning python random random-forest regressor-models scikit-learn
Last synced: 07 May 2026
https://github.com/saswatamcode/datascienceapi
This is a RESTful API built using Flask and Scikit-Learn. It provides a host of Classification and Regression algorithms that can be used readily and returns results in the form of predictions, confusion matrices, accuracy scores and more.
api flask ml python3 scikit-learn
Last synced: 07 May 2026
https://github.com/pspanoudakis/machine-learning-nlp
NLP 🤖 📖 projects on Vaccine Sentiment Classification 💉 and Question Answering 💬
bert-fine-tuning glove-embeddings neural-networks pytorch question-answering rnn scikit-learn sentiment-classification softmax-regression squad
Last synced: 07 May 2026
https://github.com/nicovandenhooff/wids-datathon-2022
This repository contains solution for the 2022 Women in Data Science Kaggle competition that I participated in, which obtained a top 10% leaderboard standing.
catboost data-visualization datascience energy-consumption ensemble-learning exploratory-data-analysis kaggle lightgbm machine-learning scikit-learn women-in-data-science xgboost
Last synced: 07 May 2026
https://github.com/jonperk318/machine-learning-in-python
ML models built from scratch in Python 3.9.13
classification clustering feature-extraction jupyter-notebook linear-classification linear-regression machine-learning mnist pca principal-component-analysis python scikit-learn
Last synced: 07 May 2026
https://github.com/jennynzhuang/bootstrap_ml_model_evaluation
Enhancing ML Model Evaluation with Bootstrapping
bootstrapping computational-statistics jupyter-notebook machine-learning python scikit-learn
Last synced: 07 May 2026
https://github.com/dynle/2020f-ml
2020F Keio University - Machine Learning Laboratory
machine-learning python scikit-learn
Last synced: 07 May 2026
https://github.com/mwasifanwar/automl_framework
Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.
automl automl-algorithms data-science data-science-projects feature-engineering feature-engineering-algorithm feature-engineering-ml hyperparameter-optimization machine-learning machine-learning-algorithms machine-learning-models mlops mlops-workflow python scikit-learn scikit-learn-python
Last synced: 07 May 2026
https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn
This repo desribes bulding a decision tree to predict customer churn in a given organisation
accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn
Last synced: 07 May 2026
https://github.com/cnoret/hexa-watts
Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)
data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit
Last synced: 07 May 2026
https://github.com/ynsrc/machine-learning
Machine Learning Examples
classification data-science machine-learning machine-learning-algorithms matplotlib nlp nlp-machine-learning regression scikit-learn sklearn
Last synced: 07 May 2026
https://github.com/henrytseng/example_docker_scikit-learn
A quick example of using Scikit-Learn from a Docker container
Last synced: 08 May 2026
https://github.com/moustafamohamed01/mall-customer-segmentation-data
Customer segmentation using K-Means clustering based on annual income and spending score.
data-science data-visualization k-means-clustering machine-learning python scikit-learn unsupervised-learning
Last synced: 08 May 2026
https://github.com/anusha-me/disease-x-detection-ml-project
A machine learning classification system for early detection of Disease X based on patient symptoms using Python, Scikit-learn, and Streamlit.
classification data-science disease-prediction healthcare-ai machine-learning medicaldata scikit-learn streamlit
Last synced: 08 May 2026
https://github.com/aravindnathan02/machine-learning-projects
Machine Learning and Deep Learning projects which mainly focuses on predictive modeling.
deep-learning machine-learning neural-networks predictive-modeling python scikit-learn tensorflow
Last synced: 08 May 2026
https://github.com/samjoesilvano/password_strength_prediction_using_nlp
Developed a predictive model to categorize passwords as Strong, Good, or Weak, enhancing security and reducing breach risks. The project involves cleaning and analyzing data from an SQL database, using the TF-IDF technique for transformation, and implementing a Logistic Regression model to achieve accurate classifications.
data-analysis data-classification data-cleaning data-visualization logistic-regression machine-learning natural-language-processing pandas password-security password-strength python scikit-learn sql tf-idf
Last synced: 08 May 2026
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/jatin-mehra119/churn_modeling
This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.
classification-model datavisualization pandas scikit-learn
Last synced: 08 May 2026
https://github.com/fareedkhan-dev/sales-linear-regression-sklearn
linear-regression machine-learning python scikit-learn
Last synced: 08 May 2026
https://github.com/deepanshkhurana/udacityproject-prediciting-boston-housing-prices
This is a Udacity Project for the Machine Learning Nanodegree. Here, we are trying to predict Boston Housing Prices using sklearn.
data-analysis data-science machine-learning python scikit-learn udacity
Last synced: 08 May 2026
https://github.com/gregoritsch3/dl_cv_e2e_potatodiseaseclassification
A guided CodeBasics Deep Learning Project where a Convolutional Model is deployed onto a Website (FastAPI) and Mobile App (React Native, Google Cloud). Its purpose is the classification of potato plant images into "healthy", "Early Blight" and "Late Blight" categories.
cnn-classification gcp model-deployment scikit-learn tensorflow
Last synced: 08 May 2026
https://github.com/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
https://github.com/oriolventur/assignment-2-model-creation
Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.
jupyter-notebook model-creation python scikit-learn
Last synced: 08 May 2026
https://github.com/seyha1007/amazon-reviews-analysis
🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
acp amazon-reviews bert data-analytics glove jupyter-notebook lstm-sentiment-analysis machine-learning nltk random-forest scikit-learn sentiment-classification sentimental-analysis support-vector-machine
Last synced: 08 May 2026
https://github.com/laksh2005/fashtag
Fashion Attribute Classification App
beatifulsoup fastapi nextjs pandas python scikit-learn selenium torch torchvision typescript
Last synced: 10 Jun 2026
https://github.com/labex-labs/supervised-learning-regression
Supervised Learning: Regression | This repo collects 7 of programming labs exercises for Supervised Learning: Regression. Supervised learning. If you are hearing or reading this term for the first time, then it may be completely unclear what it means. Don't worry. In this lab, you will get a comp...
challenges course exercises hands-on labex labs machine-learning playgroud programming scikit-learn
Last synced: 08 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/aasjunior/mlapp-api
Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.
fastapi machine-learning python scikit-learn
Last synced: 09 May 2026
https://github.com/davidrpugh/kaust-cs-294w
Course materials for KAUST CS 294W
deep-learning machine-learning pytorch scikit-learn
Last synced: 09 May 2026
https://github.com/radoslawregula/iris-classification
Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.
classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier
Last synced: 09 May 2026
https://github.com/l1ght14/customer-churn-prediction
Predict customer churn using machine learning models like Logistic Regression and Random Forest. Includes data preprocessing, model evaluation, feature importance, and insights to drive retention strategies.
churn-prediction classification customer-churn customer-churn-prediction data-analysis logistic-regression machine-learning python random-forest scikit-learn telecom
Last synced: 09 May 2026
https://github.com/alphacrypto246/employee-attrition
This project analyzes employee attrition data to uncover key factors driving employee turnover. Using Python, it employs data preprocessing, exploratory data analysis, and machine learning models to predict attrition and provide actionable insights for improving employee retention strategies.
decision-tree-classifier machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning
Last synced: 09 May 2026
https://github.com/mayankanand007/yfraud
Credit card fraud detection platform using scikit-learn and xgboost 💳
knearest-neighbor-algorithm linear-regression machine-learning predictive-analytics python3 scikit-learn svm xgboost
Last synced: 09 May 2026
https://github.com/peterchain/titanic
Script for the Titanic dataset for evaluating which passengers survived
kaggle machine-learning pandas-dataframe python3 scikit-learn
Last synced: 09 May 2026
https://github.com/otuemre/viginids
VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.
classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost
Last synced: 09 May 2026
https://github.com/mpolinowski/multi-dimensional-scaling
Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.
matplotlib-pyplot multi-dimensional-scaling python scikit-learn
Last synced: 09 May 2026
https://github.com/callmerajesh/ames-housing-price-prediction
Predicting house prices using Decision Tree Regressor on the Ames dataset
ames-housing data-science decision-tree machine-learning python regression scikit-learn
Last synced: 09 May 2026
https://github.com/saahilanande/naivebayes
Implimenting Naive Bayes classifier from scratch for sentiment analysis of IMDB dataset
machine-learning naive-bayes-classifier python-3 scikit-learn
Last synced: 09 May 2026
https://github.com/thanh12273203/hotel-booking-cancellation-prediction
Binary classification on hotel booking cancellations.
classification machine-learning python scikit-learn
Last synced: 09 May 2026
https://github.com/adadalshabab/human-stress-analysis-greadsearch-classifier
The project leverages data from physiological signals, self-reported surveys, behavioral observations, or other relevant sources to infer and analyze stress levels.
classification knn-classification machine-learning machine-learning-algorithms matplotlib pandas scikit-learn
Last synced: 09 May 2026
https://github.com/jaswanthv99/basic_ml-model_understanding
This project explains basic ML-Models(KNN, Naive bayes, Logistic Regression, SVM, A neural N/W)
matplotlib-python pandas-python scikit-learn tensorflow
Last synced: 09 May 2026
https://github.com/samuelson777/iris-flower-classification
Iris Flower Classification: A machine learning project that classifies iris flowers into three species based on sepal and petal dimensions. Includes data exploration, visualization, and model evaluation using Python and scikit-learn.
classification data-science data-visualization iris-dataset jupyter-notebook machine-learning python scikit-learn
Last synced: 09 May 2026
https://github.com/piras-s/braincancerclassifier
Classifying brain tumors using Gaussian Naive Bayes with MRI-derived features. Includes feature selection, model evaluation, prediction uncertainty, and probability calibration.
baysian-inference calibrated-classification classification data-visualization feature-selection machine-learning medical-imaging naive-bayes-classifier python scikit-learn uncertainty-estimation
Last synced: 09 May 2026
https://github.com/njaffe/eda_example_2025
Sample end-to-end data analysis walkthrough using Python and Scikit-learn.
data-science data-visualization jupyter-notebooks machine-learning python regression scikit-learn
Last synced: 09 May 2026
https://github.com/suvasish114/house-price-estimation
A machine learning model that estimate housing prices in California using the California census data
jupyter-notebook machine-learning python scikit-learn
Last synced: 09 May 2026
https://github.com/mpolinowski/fisher-discriminant-analysis
LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.
linear-discriminant-analysis matplotlib-pyplot python scikit-learn
Last synced: 10 May 2026
https://github.com/naufal-yafi/text-mining-nb.model
Text mining using Naive Bayes algorithm
clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining
Last synced: 10 May 2026
https://github.com/rudrakhp/ir-project-blog-recommender
machine-learning python scikit-learn
Last synced: 10 May 2026
https://github.com/amirdora/python_ml_supervisedlearning_example
Building Classification Models with scikit-learn
machine-learning python3 scikit-learn
Last synced: 10 May 2026
https://github.com/chengetanaim/sentimentanalysisforfinancialnews
This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)
beautifulsoup4 chartjs django html-css-javascript logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer webscraping
Last synced: 10 May 2026
https://github.com/aneeshmurali-n/nlp-emotion-classification-in-text
Develop machine learning models to classify emotions in text samples.
bag-of-words data emotion-classification feature-extraction machine-learning naive-bayes natural-language-processing nlp nltk preprocessing python scikit-learn svm text-classification tf-idf tokenizer vectorizer
Last synced: 10 May 2026
https://github.com/ejw-data/ml-classification-credit-risk
Compares several machine learning classification models to determine whether to approve or reject a loan request
classification python scikit-learn
Last synced: 10 May 2026
https://github.com/djdhairya/student-attendance-management
folium matplotlib pandas scikit-learn
Last synced: 10 May 2026
https://github.com/afonsojramos/feup-iart
Projects developed for Artificial Intelligence class.
feup feup-iart iart neural-network python scikit-learn tensorflow
Last synced: 10 May 2026
https://github.com/i30101/mathworks2024
Coding tools for 2024 MathWorks Math Modeling Challenge
machine-learning mathematical-modelling python scikit-learn
Last synced: 10 Jun 2026
https://github.com/alphacrypto246/student-learning-style-prediction
An interactive web application built with Streamlit that predicts a student's preferred learning style (visual, auditory, or kinesthetic) using machine learning, aiding educators in personalizing teaching strategies.
machine-learning scikit-learn scikitlearn-machine-learning streamlit
Last synced: 11 May 2026
https://github.com/dtroupe18/statsfinalproject
Simple ML project using UCI dataset
abalone jupyter-notebook linear-regression machine-learning mathplotlib python3 scikit-learn uci-machine-learning
Last synced: 11 May 2026
https://github.com/monarch1108/customerinsights-kmeans
understanding customers using KMeans and RFM(recency, frequency & monetary) analysis
data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn
Last synced: 11 May 2026
https://github.com/bheemisme/brain-tumor-classification
brain tumor classification using machin learning
deep-learning machine-learning pytorch scikit-learn xgboost
Last synced: 11 May 2026
https://github.com/shridhar1504/titanic-survivor-prediction-datascience-classification-project
This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.
classification-algorithm data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization eda exploratory-data-analysis gradient-boosting jupyter-notebook machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier predictive-modeling python3 scikit-learn seaborn supervised-learning
Last synced: 11 May 2026
https://github.com/theladev/machine-learning
This repository is focus on show u my personal projects and interests on Machine Learning and Data Science. Hope u enjoy it.
data-science machine-learning machine-learning-models pandas python scikit-learn
Last synced: 11 May 2026
https://github.com/anras5/criteo-search-data
EDA and statistical tests on CriteoSearchData dataset
data-science pandas scikit-learn statistics
Last synced: 11 May 2026
https://github.com/johannesvc/data-science-portfolio
A curated portfolio of applied data science projects focused on machine learning, NLP, and social impact.
academic-portfolio data-science deep-learning keras machine-learning media-bias nlp pandas scikit-learn
Last synced: 11 May 2026
https://github.com/cplaza0997/py-ml
Machine learning
clustering linear-regression logistic-regression ml pyspark python scikit-learn sparkml
Last synced: 11 May 2026
https://github.com/sharvesh1401/inverse-design-patch-antenna
A machine learning approach to the inverse design of microstrip patch antennas by predicting optimal physical dimensions from desired performance metrics.
antenna-design deep-learning engineering-project gradio jupyter-notebook machine-learning patch-antenna python regression-model scikit-learn
Last synced: 11 May 2026
https://github.com/rajireddy15/student_grade_pred
A machine learning project to predict student final grades using academic and demographic data. Built with pandas, scikit-learn, and visualized with seaborn and matplotlib to gain insights and support early intervention for students.
academic-insights data-science eda education-analytics grade-prediction machine-learning ml-project pandas regression-models scikit-learn student-performance-analysis
Last synced: 11 May 2026
https://github.com/cptanalatriste/copycat-detector
A Naive-Bayes classifier for detecting plagiarism.
amazon-sagemaker naive-bayes-classifier scikit-learn
Last synced: 12 May 2026
https://github.com/shubhamkarampure/asl-streamlit-signlingo
streamlit based web-app for teaching sign language through real-time hand gesture recognition.
learning-exercise mediapipe opencv-python python scikit-learn sign-language streamlit-webapp
Last synced: 12 May 2026
https://github.com/g-eoj/kaggle-rotten-tomatoes
Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.
cross-validation nlp nltk rotten-tomatoes scikit-learn
Last synced: 12 May 2026
https://github.com/capsuleismail/rt-iot2022
RT-IoT2022 is a dataset obtained from a real-time IoT infrastructure. This project aims to compare the accuracy of three machine learning models: XGBoost and LGBMClassifier.
datascience jupyter-notebook machinelearning-python scikit-learn
Last synced: 12 May 2026
https://github.com/srosalino/prediction_of_seoul_bikes_demand
The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible
cross-validation data-exploration-and-preprocessing hyperparameter-tuning machine-learning regularization-methods scikit-learn
Last synced: 13 May 2026
https://github.com/msikorski93/heart-failure-prediction
The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).
classification knn-classifier logistic-regression random-forest-classifier roc-curves scikit-learn svm-classifier
Last synced: 13 May 2026
https://github.com/msikorski93/seed-clustering
Performing basic clustering on a seeds dataset.
agglomerative clustering dbscan gaussian-mixture-model gmm mini-batch-kmeans scikit-learn seeds
Last synced: 13 May 2026
https://github.com/fgebhart/handson-ml
hands-on machine learning notebooks collection
jupyter-notebook machine-learning scikit-learn
Last synced: 13 May 2026
https://github.com/johanneswiesner/skplot
A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.
plotting python scikit-learn sklearn visualization
Last synced: 14 May 2026
https://github.com/janek1842/mlbyjan-sandbox
Testbed for private ML investigations
Last synced: 14 May 2026
https://github.com/fulviofavilla/cvd-prediction-ml
Comparative ML analysis for CVD prediction. Winner of the 2023 HPCC Systems Poster Competition.
data-science ecl healthcare hpcc-systems machine-learning pandas python scikit-learn
Last synced: 11 Jun 2026
https://github.com/muditnautiyal-21/mudra-ml
Glass-box autonomous data science in Python. Profiles data, builds leakage-safe pipelines, recommends and tunes models, and logs every decision behind the result.
automl classification clustering data-science explainable machine-learning pipeline python regression scikit-learn
Last synced: 12 Jun 2026
https://github.com/arjunan-k/medical_insurance
Project to analyze and forecast medical insurance costs of patients using data science framework.
medical-insurance scikit-learn tableau
Last synced: 12 Jun 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 2026
https://github.com/nayutalienx/osu-skill-predictor
ML-powered osu! pass probability & accuracy predictor with real-time overlay. Standalone Windows bundle available.
fastapi machine-learning osu overlay predictor scikit-learn
Last synced: 14 Jun 2026
https://github.com/rb-thompson/machine-learning-basics
Implement a machine learning pipeline on the Iris flower dataset.
data-preprocessing data-visualization model-training python scikit-learn
Last synced: 18 Jun 2026
https://github.com/hyoaru/anonalyze-process
A machine learning project part of the anonalyze initiative focused on sentiment and emotion classification through Natural Language Processing (NLP). Utilizing a Multinomial Naive Bayes classifier, this system analyzes Twitter data to predict sentiments (positive, negative, neutral) and emotions (sadness, joy, love, anger, fear, surprise).
feature-engineering machine-learning multinomial naive-bayes natural-language-processing python scikit-learn tf-idf
Last synced: 19 Jun 2026
https://github.com/royxlead/production-drift-detection
Production ML monitoring library - KL, PSI, MMD, and ADWIN drift detectors with empirical benchmarks, confidence tracking, and a 6-page FastAPI dashboard.
data-drift drift-detection fastapi kl-divergence mlops mmd model-monitoring production-ml psi pytorch scikit-learn uncertainty-quantification
Last synced: 23 Jun 2026
https://github.com/imosudi/unsupervised-ml-kmeans-analysis
K-Means clustering analysis using synthetic datasets generated with scikit-learn, including meshgrid visualisation, silhouette score evaluation, and investigation of cluster count and random seed effects.
clustering data-analysis jupyter-notebook kmeans kmeans-clustering machine-learning matplotlib python3 scikit-learn silhouette-score unsupervised-learning
Last synced: 25 Jun 2026
https://github.com/vevdokimovm/python-qa-course
Jupyter notebooks from a Python + Machine Learning course — sklearn, linear regression, data analysis
data-science jupyter machine-learning python scikit-learn
Last synced: 27 Jun 2026
https://github.com/hanspeterdietiker/chatbot-medic-assist-ai
Chat bot para triagem inicial hospitalar, classificando pacientes em areas médicas e definindo niveis de urgéncia por meio de modelos supervisionados, visando otimizar o fluxo de atendimento.
decision-tree-classifier pandas python scikit-learn
Last synced: 27 Jun 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/douglasdrake/svclassifier
Fitting a support vector classifier to the Kepler Exoplanet Search data set.
jupyter python scikit-learn support-vector-classifier tree-decision-classifier yeo-johnson-transformations
Last synced: 29 Jun 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/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/bjpcjp/scikit-learn
Updates in progress. Jupyter workbooks will be added as time allows.
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