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An open API service indexing awesome lists of open source software.

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/swat1563/recommendation-system

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy

Last synced: 07 Jan 2026

https://github.com/jbizzlefoshizzle/linear-and-ridge-regression

The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

linear-regression machine-learning machine-learning-algorithms regression-analysis regression-models ridge-regression scikit-learn scikitlearn-machine-learning train-test-split train-test-using-sklearn

Last synced: 16 May 2026

https://github.com/chris-santiago/tsfeast

A collection of Scikit-Learn compatible time series transformers and tools.

data-science feature-engineering python scikit-learn time-series timeseries-features transformers

Last synced: 01 May 2026

https://github.com/senaayy/adhd-network-efficiency

🧠 End-to-end fMRI analysis pipeline comparing ADHD brain topology vs. Healthy Controls using Graph Theory (Global Efficiency & Clustering). Built with Nilearn, NetworkX, and Docker for reproducible neuroscience.

adhd bioinformatics brain-networks computational-neuroscience data-science docker fmri graph-theory network-analysis networkx neuroscience nilearn python scikit-learn

Last synced: 17 Jun 2026

https://github.com/ranimeshehata/softmax-regression-on-mnist

A PyTorch-based project for classifying the MNIST dataset using Softmax Regression, including training, validation, results and visualization.

matplotlib mnist python3 pytorch scikit-learn softmax-regression torchvision

Last synced: 15 Apr 2026

https://github.com/usmana5809/quran-recitation-audio-classification

Quran Recitation Audio Classification project aims to classify different recitations of the Quran using machine learning techniques. It involves preprocessing audio data, extracting features, training models, and evaluating their performance

audio-classification classification-model islamic-studies librosa machine-learning python quran scikit-learn

Last synced: 20 Mar 2025

https://github.com/umasivakumar14/real_estate_ml_model

Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.

aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn

Last synced: 02 Feb 2026

https://github.com/celineboutinon/faux-billets

OpenClassrooms Data Analyst 2022-2023 - Projet 10

machine-learning python scikit-learn statsmodels

Last synced: 16 May 2026

https://github.com/crispengari/python-sklearn

💎 Introduction to machine learning with scikit-learn in python. A quick walk through the sklearn library for machine learning and understanding different machine learning algorithims.

ai artificial-intelligence classification clustering datascience jupyter-notebook machine-learning ml-python nlp python regression scikit-learn

Last synced: 13 May 2026

https://github.com/alphacrypto246/grape-quality-prediction

The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 19 Apr 2026

https://github.com/lilivalgo/machine-learning-projects

This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning

lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots

Last synced: 28 Mar 2025

https://github.com/gfyoung/tree-decode

Package for removing the black-box around decision trees

blackbox decision-tree machine-learning python scikit-learn

Last synced: 20 Jan 2026

https://github.com/striderzz/ml-heart-disease-classification

Machine Learning - Heart Disease Classification Project using Sci-Kit Learn

classification-machine-learning machine-learning machine-learning-projects scikit-learn

Last synced: 16 May 2026

https://github.com/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 11 Apr 2025

https://github.com/oneapi-src/predictive-asset-health-analytics

AI Starter Kit for Predictive Asset Maintenance using Intel® optimized version of XGBoost

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/akimuddinshaikh/domain-application-of-predictive-analysis

Data-Driven House Price Prediction "Predicting house prices using Machine Learning techniques

feature-engineering pca python random-forest scikit-learn

Last synced: 09 May 2026

https://github.com/prashantsaini1525/heart-disease-predicition

Project 1 : Heart Disease Prediction A machine learning project that uses logistic regression to predict the likelihood of heart disease based on clinical data. This repository includes data preprocessing, model training, evaluation, and an interactive prediction system.

cardiology classification data-science healthcare heart-disease logistic-regression machine-learning predictive-modeling python scikit-learn

Last synced: 04 Jul 2025

https://github.com/cs50victor/cspaint

handwritten-text recognition application

ai machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/adiseshu-sdet/ai-model-testing

This project demonstrates a complete workflow for developing, testing, and deploying an AI model. The primary objective is to build and test a machine learning model, expose it via a REST API, and automate the entire process using CI/CD pipelines. Below is a detailed summary of the work done.

dockerization flask-rest-api logistic-regression machine-learning python3 scikit-learn

Last synced: 16 May 2026

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/rishavp15/aivshuman_text

In this project make user to decide that the text which is entered in text box is a human generated or a computer generated text.

django pandas python scikit-learn

Last synced: 11 Feb 2026

https://github.com/ntanwir10/ai-anamoly-detector

A highly efficient, real-time anomaly detection system for distributed microservices architecture that leverages Redis's advanced probabilistic data structures (RedisBloom) for memory-efficient data collection and RedisGears for in-database processing. An AI model analyzes data patterns to identify and predict system failures before they cascade.

client-sdks docker docker-compose expressjs flask kubertnetes microservices nodejs python reactjs redis-bloomfilter redis-gears redis-pubsub redis-stack redis-streams scikit-learn

Last synced: 06 Apr 2026

https://github.com/akhileshmanitiwari06/gesture-to-command-system

AI that recognizes your gestures via webcam and maps them to system commands (play, pause, next, scroll, etc.)

pyautogui-automation python scikit-learn tkinter-gui

Last synced: 16 May 2026

https://github.com/davidyslu/pokemonrecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 02 May 2026

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 17 Feb 2026

https://github.com/lakshitalearning/spamfortress

A machine learning-based project to detect SMS spam messages with high accuracy, using the SMS Spam Collection Dataset and techniques like supervised learning, text preprocessing, and model comparison.

data-science google-colab machine-learning nlp scikit-learn sms-spam-detection

Last synced: 28 Apr 2026

https://github.com/kosmoswerner/scikitlearn.net

C# bindings for Scikit-Learn (WIP - Refactor)

machine-learning scikit scikit-learn sklearn

Last synced: 20 Jun 2025

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/lorenzorottigni/ml-interview

Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset

ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/florianwoelki/stock_price_prediction

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model.

lasso-regression linear-regression python ridge-regression scikit-learn stock-price-prediction

Last synced: 07 Apr 2026

https://github.com/alpkanoz/ibm_data_science_professional_certificate

The repository contains projects and training materials carried out throughout the IBM data science professional course.

classification clustering data-analysis data-science data-visualization dataframe ibm ibm-watson machine-learning mathplotlib pandas predictive-modeling python scikit-learn

Last synced: 07 Mar 2026

https://github.com/koradapavani/customer-churn-ml-project

Machine learning project to predict customer churn in telecom

churn-prediction machine-learning python scikit-learn telecom

Last synced: 04 May 2026

https://github.com/sabin74/spam_mail_detection

A machine learning project to classify SMS messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and Scikit-learn. This binary classification task uses the UCI SMS Spam Collection Dataset and implements various models including Naive Bayes, SVM, and Logistic Regression with performance tuning.

gridsearchcv nltk python scikit-learn smote sms-spam-detection uci-machine-learning

Last synced: 04 May 2026

https://github.com/manshreet27/mrs

This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.

numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data

Last synced: 07 Apr 2026

https://github.com/muhdhammad/machine-learning

Crafted for hands-on learning and implementation of ML with scikit-learn

data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/fikri-rouzan/energy-consumption-prediction

Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.

jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn

Last synced: 07 Apr 2026

https://github.com/akapich/clustermatic

Python AutoML library for clustering tasks

automl clustering machine-learning scikit-learn

Last synced: 11 Feb 2026

https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection

Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.

classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml

Last synced: 02 Apr 2026

https://github.com/abdiasarsene/developpement_tableau_de_bord_de_la_chaine_approvisionnement_power_bi

Développer une solution complète pour visualiser, analyser et prédire des données de la chaîne d'approvisionnement.

ci-cd docker fastapi github-actions mysql-database randomizedsearchcv scikit-learn seaborn-plots

Last synced: 23 Jun 2025

https://github.com/aneeshmurali-n/ann-diabetes-prediction

Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.

ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization

Last synced: 07 Apr 2026

https://github.com/pramodyasahan/learn-ml

This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.

classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning

Last synced: 07 Apr 2026

https://github.com/praatibhsurana/breast-cancer-prediction-svm

A SVM classifier coded in Python using Scikit-Learn to classify whether a patient's tumor is malignant or benign.

kaggle-dataset linear-classifier machine-learning-algorithms python scikit-learn svm-classifier

Last synced: 16 May 2026

https://github.com/anthippi/naive-bayes-imdb-classification

A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.

classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn

Last synced: 09 Apr 2026

https://github.com/shakeel-data/amazon-sales-forecasting-python-bigquery-ml

An end-to-end analytics project using Python, SQL, & ML to forecast Amazon sales and segment customers. We build predictive models (LightGBM, Prophet) and clustering (KMeans) to deliver actionable insights for revenue growth and targeted marketing.

bigquery kmeans-clustring lightgbm linear-regression prophet-facebook scikit-learn

Last synced: 09 May 2026

https://github.com/tejaswirupa/early-prediction-of-diabetes-risk-using-machine-learning

Built a predictive model using CDC health data to identify individuals at risk of developing diabetes. Achieved 90.6% F1-score using Logistic Regression and revealed key health indicators like BMI and blood pressure as top predictors.

data-science datacleaning exploratory-data-analysis modelevaluation preprocessing-data python scikit-learn supervised-machine-learning

Last synced: 15 Jul 2025

https://github.com/hazim-hf/machine-learning

This repository contains materials and implementations related to machine learning concepts, techniques, and algorithms. The focus is on building self-learning computer systems that improve through experience and data. The course explores fundamental and advanced topics in machine learning, with applications in Big Data across various fields.

decision-trees neural-network pytorch reinforcement-learning scikit-learn support-vector-machine tensorflow unsupervised-learning

Last synced: 07 Apr 2026

https://github.com/luona-zhang/kaggle-data-science-competitions

This repository contains code developed for participating in Kaggle Data Science competitions.

fitting-algorithm machine-learning model-evaluation numpy pandas scikit-learn seaborn tensorflow

Last synced: 07 Apr 2026

https://github.com/ismaelvr1999/air-quality-clustering

This project focuses on analyzing air quality data and categorizing it into clusters using the K-Means algorithm.

jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 05 Mar 2026

https://github.com/Gamowy/Music-Classification

Music genre classification using k nearest neighbors classifier based on gtzan dataset

machinelearning python scikit-learn university-assignment

Last synced: 17 Jul 2025

https://github.com/anandparayil/sign-language-translator

Real-Time AI-Based Sign Language Translator using MediaPipe, Random Forest, and Tkinter GUI.

jupyter-notebook mediapipe opencv python pyttsx3 scikit-learn tkinter-gui

Last synced: 07 Apr 2026

https://github.com/balavenkatesh3322/loan-default-prediction

An end-to-end machine learning project to predict loan default risk. Includes Exploratory Data Analysis (EDA), feature engineering, a Gradient Boosting model, and a proposed system architecture for deployment.

data-science deep-learning feature-engineering gradient-boosting loan-default-prediction machine-learning scikit-learn tutorial-exercises

Last synced: 17 May 2026

https://github.com/itsdawei/qsc-airplane

A regression model predicting airline stock prices based on public flight data.

regression-analysis scikit-learn statsmodels stock-price-prediction

Last synced: 17 May 2026

https://github.com/krish57-bit/diabetes-prediction-

A comprehensive machine learning pipeline to predict the onset of diabetes using the PIMA Indian Diabetes dataset. This includes data cleaning, visualization, outlier detection, standardization, SMOTE-based imbalance handling, and multiple classification algorithms (Logistic Regression, Naive Bayes, and KNN).

classification data-science diabetes healthcare jupyter-notebook machine-learning python scikit-learn smote

Last synced: 07 May 2026

https://github.com/kishankrishna1/spam-classifier

Developed a Machine Learning-based Spam Classifier using Multinomial Naive Bayes to identify and filter spam messages with high precision

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/daniil-leshchev/spotify_ml

Track Popularity Prediction based on Spotify Data

eda keras ml pandas scikit-learn

Last synced: 12 Apr 2026

https://github.com/ahmedheakl/diabetes_classification_svm

Classifying patients to know if they have diabetes using Supporting Vector Machine Model.

machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/netcodez/climate-prediction-pipeline

Predicting London's climate using machine learning techniques. This project aims to forecast mean temperature in Celsius (°C) using various regression models and logging experiments with MLflow

huggingface machine-learning mlflow mlflow-tracking mlflow-tracking-server mlops python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/nicolasvauche/vinylexplore_ml

VinyleXplore est un moteur de recommandation de vinyles intelligent basé sur l'humeur et le contexte d'écoute de l'utilisateur. Il utilise FastAPI pour exposer une API REST et scikit-learn pour entraîner un modèle de Machine Learning qui améliore la pertinence des suggestions.

machine-learning python scikit-learn vinyle

Last synced: 17 May 2026

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 09 Apr 2026

https://github.com/szymonrucinski/pippi-lang

Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.

data-cleaning data-science nlp pipeline scikit-learn

Last synced: 30 Apr 2026

https://github.com/pratishtha-abrol/sentimentanalysis

Logistic Regression: A sentiment analysis case study

logistic-regression nltk-python scikit-learn sentiment-analysis

Last synced: 17 May 2026

https://github.com/pradeep-r04/attendiq

AttendIQ is a Face Recognition Attendance System designed to automate and streamline the attendance process with precision and ease. By leveraging real-time face detection and recognition technology, AttendIQ eliminates the need for manual roll calls or ID-based check-ins. The system captures facial data during a quick registration process .

csv cv2 kneighborsclassifier numpy os pandas pickle python scikit-learn streamlit time

Last synced: 02 Apr 2026

https://github.com/capac/higher-education-students-performance-evaluation

Machine learning project for evaluating higher education student performance

docker evidently grafana mlflow postgresql prefect python scikit-learn xgboost

Last synced: 09 Apr 2026

https://github.com/adirbella37/safety-analytics-project

Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.

classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels

Last synced: 09 Apr 2026

https://github.com/urvee1810/bitcoin-price-forecasting-using-arma

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis

Last synced: 06 Mar 2026

https://github.com/rizquuula/sentimentanalyzenaivebayes

Analisis Sentimen menggunakan metode Naive Bayes dengan "One time learning" dan "Continuous Learning"

machine-learning naive-bayes nlp python scikit-learn sentiment-analysis text-classification

Last synced: 17 May 2026

https://github.com/mitchmedeiros/mlcompare

Quickly compare machine learning models across libraries and datasets.

huggingface-datasets kaggle machine-learning openml pytorch scikit-learn xgboost

Last synced: 02 Feb 2026

https://github.com/paulinhok14/csgo-datascience-project

📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.

matplotlib mlflow numpy python scikit-learn scipy seaborn

Last synced: 30 Dec 2025

https://github.com/surajsanap/technohack_mlinternship

1) Wine Quality Analysis and Classification, 2)Movie Review Sentiment Analysis, 3)Diabetes Prediction Using Machine Learning

deep-learning machine-learning pandas python scikit-learn

Last synced: 08 May 2025

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 07 Feb 2026

https://github.com/priyanshul28/ml_regression_eda_waiterstip

An EDA and Machine Learning Regression exercise on the Waiter's Tip dataset demonstrating the use of Linear Regression, Neural Network Regressors, Decision Trees, Random Forests, Linear SVR, XGBoost, etc. The models are optimized using hyperparameter tuning through GridSearchCV.

eda machine-learning regression scikit-learn seaborn

Last synced: 17 May 2026

https://github.com/blaz-cerpnjak/student-dropout-prediction

Student dropout predictions based on grades and other info. Classification problem with MLPClassifier.

classification machine-learning mlpclassifier neural-networks poetry predicting-student-dropout python scikit-learn scikit-learn-pipelines

Last synced: 17 May 2026

https://github.com/monish-nallagondalla/cement_strength_prediction

The Cement Strength Prediction project uses machine learning to predict the compressive strength of cement based on its components, such as Cement, Fly Ash, Water, Superplasticizer, Coarse Aggregate, Fine Aggregate, and Age. The goal is to forecast compressive strength (MPa) for optimized cement production and quality control.

cement-strength-prediction construction-industry data-analysis data-preprocessing data-science data-visualization feature-engineering machine-learning predictive-modeling python regression-analysis scikit-learn

Last synced: 11 May 2026

https://github.com/arrhythmia-detection/authorprovidedfeaturescombineddtoptimized

Deploys an optimized 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: 17 May 2026

https://github.com/christianconchari/bike-sharing-demand

Este repositorio contiene el trabajo práctico final de la materia Aprendizaje de Máquina II de la Especialización en Inteligencia Artificial (CEIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (FIUBA).

airflow docker fastapi machine-learning mlflow python scikit-learn

Last synced: 20 Jan 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7