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/gperdrizet/ensembleset

Ensemble dataset generator for tabular data prediction and modeling projects.

classification ensemble feature-engineering machine-learning regression scikit-learn

Last synced: 07 Mar 2026

https://github.com/udityamerit/curafind-powered-by-ai

CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs

ai machine-learning nlp numpy pandas scikit-learn

Last synced: 18 Sep 2025

https://github.com/urme-b/multimodal-multisensor

Longitudinal neurophysiological study of adult psychometric testing.

keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/farrajota/kaggle_titanic

My solutions to the "Titanic: Machine Learning from Disaster" kaggle competition

docker docker-compose kaggle kaggle-competition kaggle-titanic notebook pyspark python scikit-learn

Last synced: 11 Apr 2026

https://github.com/mariamabidi/pinn-based-flow-prediction

This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.

computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn

Last synced: 05 Aug 2025

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 07 Apr 2026

https://github.com/f-aguzzi/chemfusekit

Chemometrics library for data fusion, model training and prediction of data from multiple sensor sources.

chemometrics datafusion knn lda pca plsda scikit-learn svm

Last synced: 20 Jan 2026

https://github.com/dinhanhx/determination

Scripts to set global random for some machine learning framework

determination deterministic keras pytorch randomness scikit-learn tensorflow2

Last synced: 12 Apr 2026

https://github.com/yessasvini23/deepfake_immunization_toolkit

🛡️ AI-powered toolkit to detect deepfakes, educate users, and verify content authenticity using federated learning and blockchain. Built for election security, media integrity, and digital literacy.

blockchain matplotlib numpy opencv python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/adrien-1997/bike-forecast-paris-velib

Bike-sharing demand forecasting in Paris (Vélib’). A data science and machine learning project leveraging open urban mobility data to predict bike availability, analyze time series usage patterns, and provide interactive dashboards for visualization.

bike-sharing dashboard data-science duckdb forecasting machine-learning matplotlib open-data pandas paris predictive-modeling python scikit-learn streamlit transportation urban-mobility velib

Last synced: 11 Apr 2026

https://github.com/uhstray-io/pystockbot

Platform & exchange agnostic Stock, Crypto, and Asset automated Machine Learning & AI Trading Bot

automation docker machine-learning python scikit-learn statistical-analysis trading-algorithms

Last synced: 13 Aug 2025

https://github.com/rs2416/Detecting_Social_Anxiety

This repository contains the full dataset and code needed to recreate the classification models and reproduce the results within this paper: https://formative.jmir.org/2021/10/e32656/

jupyter-notebook machine-learning python scikit-learn social-anxiety

Last synced: 07 May 2025

https://github.com/rusiruchapana/blood-group-prediction

Creating a machine learning project to predict blood groups from fingerprint patterns

asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/mehmoodulhaq570/machine-learning-models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model

Last synced: 08 Apr 2025

https://github.com/colinwu0403/heartbpmusic

Music discovery platform that recommends you a song based on your heart's BPM and your mood using Machine Learning.

django neurokit2 scikit-learn spotify-web-api vuejs

Last synced: 05 May 2026

https://github.com/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 08 May 2026

https://github.com/gokulgowthams/clickstream-customer-conversion

Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.

data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost

Last synced: 07 Apr 2026

https://github.com/sanjeetbth7/krishi-nexus

Krishi Nexus revolutionizes agriculture by delivering data-driven crop recommendations via advanced machine learning, maximizing yields and ensuring sustainable practices. This platform empowers farmers with actionable insights, optimizing investments and promoting informed decision-making for a prosperous and eco-conscious future.

api classification expressjs reactjs scikit-learn supervised-learning tail

Last synced: 18 Feb 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/2003harsh/house-price-prediction-using-machine-learning

This project features a web app that predicts house prices using a linear regression model. Users can input details like location, square footage, bathrooms, and bedrooms through an HTML form. I've added a CI/CD pipeline with GitHub Actions, unit testing with pytest, and automated Docker containerization to improve deployment and robustness.

ci-cd data-analysis docker-image flask linear-regression machine-learning matplotlib mlops-workflow requests scikit-learn

Last synced: 04 Jan 2026

https://github.com/armanjscript/fusion-rag

A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages the **Fusion-in-Decoder (FiD)** approach for **Retrieval-Augmented Generation (RAG)**, combining semantic similarity, technical term relevance, and recency to deliver accurate and contextually relevant responses

chroma chromadb fusion-rag langchain langchain-ollama ollama pypdf qwen2-5 rag rag-chatbot scikit-learn streamlit tf-idf-score tf-idf-vectorizer vector-database

Last synced: 10 Apr 2026

https://github.com/alexsomai/machine-learning-getting-started

Dummy examples and experiments to get started with Machine Learning

artificial-intelligence deep-learning machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/anudeepjonnada/phishshield-ai

🛡️ PhishShield AI – An intelligent phishing email detector that uses BERT and Machine Learning to identify phishing attempts in real time. Integrated with the Gmail API, powered by Flask, React, and MongoDB for secure full-stack email analysis and threat detection.

bert flask gmail-api mongodb oauth2 python react scikit-learn

Last synced: 13 Apr 2026

https://github.com/jai0212/cash-app-bias-busters

A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.

bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy

Last synced: 16 Feb 2026

https://github.com/wesleyscholl/ai-sommelier

🤵🏻‍♂️🍷 An AI-powered wine recommendation system that helps customers find the perfect bottle based on taste preferences, grape varietals, food and cheese pairings, or mood. 🍇 🍝 🧀

ai artificial-intelligence embeddings gemini llm machine-learning python recommendation-system retreival scikit-learn semantic-search streamlit torch transformers wine

Last synced: 17 Feb 2026

https://github.com/uhstray-io/pyrizon

Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python

api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow

Last synced: 09 Apr 2026

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

https://github.com/daniel1kp/diamond-price-predictor

đź’ŽDiamond Price Predictor is an user-friendly web application that simplifies the analysis and prediction of diamond prices.

altair pandas python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/artikumari28/movie-recommender-system

This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.

google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit

Last synced: 06 Apr 2026

https://github.com/hasnainyaqub/6_Months_of_Data_Science_and_AI

A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.

ai data-science deep-learning eda fastapi flask machine-learning pandas plotly powerbi python pytorch scikit-learn scipy sql tableau tensorflow

Last synced: 24 Nov 2025

https://github.com/oneapi-src/product-recommendations

AI Starter Kit for product recommendation system using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/oneapi-src/credit-card-fraud-detection

AI Starter Kit for Credit Card Fraud Detection model using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 04 Apr 2025

https://github.com/harshita2234/breast-cancer-prediction

A machine learning project to predict breast cancer using logistic regression. This project includes data preprocessing, feature scaling, model training, and evaluation, based on a guided project from Coursera.

breast-cancer-prediction jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 12 Apr 2026

https://github.com/felipeclarindo/energy-predict-api

Api para realizar previsões sobre energia.

api api-development api-rest flask pandas pickle python scikit-learn

Last synced: 13 Apr 2026

https://github.com/nordszamora/sentiment

This ML project is used to predict the text sentiment positive, negative or neutral. Its used a Reddit dataset in kaggle to train the model and make a prediction on new/unseen data.

django joblib kaggle naive-bayes-classifier pandas python redditdata scikit-learn

Last synced: 11 Apr 2026

https://github.com/fohlen/stats-experiment

A tiny stats experiment with GENESIS data

matplotlib python3 scikit-learn

Last synced: 17 May 2026

https://github.com/mdalamin5/machine-learning-2.0

Machine-Learning-2.0: A comprehensive repository documenting my journey to master ML from scratch. It includes core algorithms, advanced techniques, data preprocessing, feature engineering, and real-world projects. Follow my structured approach, inspired by "100 Days of ML," featuring Python implementations, tools, and insightful resources.

data-fetching-from-api datapreprocessing end-to-end-project feature-engineering gradient-descent-optimizers machine-learning-algorithms scikit-learn webscraping-data

Last synced: 21 Apr 2026

https://github.com/queirozpedro/cluesuspeitosrna

Estudando o funcionamento do Jogo Clue Suspeitos e implementando treinamento de uma Rede Neural. Clue Card Game é um jogo de cartas, onde os jogadores passam por rodadas de perguntas e respostas em busca de descobrir o cenário do crime, composto por um suspeito, um lugar e uma arma.

matplotlib mlp-classifier python scikit-learn

Last synced: 16 May 2026

https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 11 Apr 2026

https://github.com/haloapping/ml-workflow

Template alur kerja machine learning.

mahine-learning numpy pandas python3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/pkini2002/hpe_cty

Repository to maintain the learnings of the technologies used for the CTY'23 Project Work provided by HPE

computer-networks docker docker-container linux python scikit-learn swarm-learning ubuntu

Last synced: 07 Apr 2026

https://github.com/rohitpawar001/bone_marrow_surival_prediction

Bone marrow transplants can be life-saving, but predicting patient survival is complex. In this project, I used machine learning to analyze key medical factors and improve survival predictions. I also implemented CI/CD pipelines, used MLflow for model tracking, and deployed the model on an AWS EC2 instance.

aws docker ec2-instance flask machine-learning mlflow python scikit-learn

Last synced: 08 Apr 2026

https://github.com/official-biswadeb941/ClopiMedi---Your-Healths-Trusted-Care

ClopiMedi is an AI-driven healthcare application that simplifies doctor appointment bookings, offering personalized recommendations based on medical conditions to enhance patient-provider connections.

adam ai flask flask-api flask-api-backend full-stack-web-development joblib machine-learning scikit-learn tensorflow

Last synced: 28 Mar 2025

https://github.com/saro0307/pre-doctor-ai-model

Pre-Doctor is an AI-driven health advisor using sci-kit-learn, offering quick medical advice based on user-input symptoms, making healthcare accessible and user-friendly. Utilizing Flask and pyttsx3, it seamlessly integrates machine learning for informed well-being.

artificial-intelligence css flask generative-ai generative-model html machine-learning python reinforcement-learning scikit-learn

Last synced: 07 Apr 2026

https://github.com/thananjaya/admission_chance_prediction

Admission Chance Prediction using linear regression, wrapped up using Flask framework

flask linear-regression machine-learning python3 scikit-learn

Last synced: 17 Apr 2026

https://github.com/strcoder4007/machine-learning-deep-learning-practice

Implementation of Linear/Logistic Reg, K-NN, SVM, Clustering, K-Means, ConvNet, ResNet, MobileNet, RNN, LSTM etc. using Pandas, SciKitLearn, NumPy & TensorFlow 2

convolutional-neural-networks matplotlib scikit-learn tensorflow2

Last synced: 15 May 2026

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 06 Apr 2026

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/njorogepaul-moghul/iris_flower_app

This app classifies Iris flowers into species based on their sepal and petal measurements using trained machine learning models. Users can input measurements and get instant predictions.

iris-classification logistic-regression machine-learning python random-forest-classifier scikit-learn

Last synced: 17 May 2026

https://github.com/metriccoders/metriccoders_datasets

This is the Metric Coders repository containing all the datasets for machine learning.

data datasets machine-learning natural-language-processing scikit-learn

Last synced: 08 Apr 2025

https://github.com/aryank1511/wattwise

WattWise is an innovative energy-saving app that uses an Arduino-powered device to monitor and predict household electricity usage and bills in real-time.

arduino docker flask machine-learning mqtt nextjs scikit-learn

Last synced: 04 Feb 2026

https://github.com/alessandromonolo/descriptive-texts-classification-by-usage-purposes-of-estate-properties

The project aims to identify the best model for the classification of texts derived from descriptions of assets subject to Italian judicial auctions. The employed models include both conventional models, such as Logistic Regression, Naive Bayes, SVM, and XGBoost, and neural network models, such as Fasttext and XLM-Roberta.

fasttext logistic-regression naive-bayes nlp python pytorch scikit-learn seaborn spacy svm text-classification tfidf tokenizer xgboost xlm-roberta

Last synced: 08 Apr 2026

https://github.com/arnabsaha7/piezoelectric-roads-implementation

This repository implements a piezoelectric road system in Python, leveraging Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn. The requirements.txt file ensures version consistency for reproducibility.

pandas-python piezoelectric roads scikit-learn

Last synced: 06 Jan 2026

https://github.com/mirgis/plucky-playground

A modest collection of machine learning and deep learning algorithms, along with examples implemented in diverse toolkits.

bayes bayesian deep-learning examples ipynb keras machine-learning neural-network pandas playground python3 pytorch scikit-learn sklearn statistics tensorflow

Last synced: 13 Apr 2026

https://github.com/swimshahriar/heart-attack-prediction

Heart attack prediction from 13 features.

jupyter-notebook pandas python3 scikit-learn

Last synced: 18 Apr 2026

https://github.com/siam29/exploring-explainable-ai-demystifying-dt-rf-knn-xgbc

Implemented XAI techniques to enhance transparency in fraud detection models. I employed techniques such as SHAP, LIME on DT, RF, XGBC, and KNN to offer lucid explanations for transactions that were flagged.

machine-learning matplotlib pandas scikit-learn xai

Last synced: 15 Apr 2026

https://github.com/srikarveluvali/heart-disease-prediction-ml

This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.

exploratory-data-analysis machine-learning python scikit-learn

Last synced: 04 May 2026

https://github.com/leabrodyheine/water-pump-status-prediction

This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.

argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/devspidr/ml-programs

A collection of foundational machine learning programs covering supervised and unsupervised algorithms, implemented using Python and libraries like scikit-learn, pandas, and matplotlib. Ideal for beginners and students learning core ML concepts through practical coding.

classification machine-learning-algorithms regression scikit-learn supervised-learning unsupervised-learning

Last synced: 30 May 2026

https://github.com/fadlyhts/klasifikasistuntingbalita

Sistem Klasifikasi Status Stunting menggunakan Machine Learning untuk mendeteksi status gizi balita berdasarkan BB/U, TB/U, dan BB/TB. Dibangun dengan Python, Flask, dan Scikit-learn.

child-health data-science flask healthcare indonesia-healthcare machine-learning medical-informatics python scikit-learn stunting-classification

Last synced: 20 Mar 2025

https://github.com/offchan42/thai-thesis-classification

Classify each document inside the corpus using Python machine learning module: scikit-learn

nlp python python2 scikit-learn segment thai thai-language thai-thesis-classification

Last synced: 13 Aug 2025

https://github.com/tlapanco/knn-project

Projecto para la materia de Sistemas inteligentes haciendo uso de KNN oversampling.

jupyter-notebook knn pandas python scikit-learn smote

Last synced: 09 Apr 2026

https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app

The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.

data-science eda html machine-learning numpy pandas python scikit-learn

Last synced: 06 Apr 2026

https://github.com/aryansk/mnist-deep-learning-exploration

This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.

keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/palak-463/tablataalrecognitionsystem

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn

Last synced: 11 Apr 2026

https://github.com/vidhi1290/zomato-data-analysis

Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!

data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis

Last synced: 11 Apr 2026

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/yvesemmanuel/machine_learning

Implements data problems solved with machine learning algorithms.

data-science keras keras-tensorflow linear-algebra machine-learning neural-network python scikit-learn

Last synced: 09 Apr 2026

https://github.com/michael-insights/portfolio

This repository showcases my projects and skills in Data Analytics, Data Science, and Machine Learning. It includes hands-on work in data analysis, predictive modeling, and machine learning algorithms, aimed at solving real-world problems.

data-analytics data-science data-visualization datapreprocessing jupyter-notebooks machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn sql

Last synced: 11 Apr 2026

https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: 22 Apr 2025

https://github.com/uea-geral/rna-perceptron-exercise

🤖Disciplina de RNA: treinamento de um neurônio Perceptron.

jupyter-notebook neural-network numpy perceptron python scikit-learn

Last synced: 13 Apr 2026

https://github.com/troublem1/mle

MultiLabel-Transformer(MLE) is an extended version of a LabelEncoder, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline

packages python3 scikit-learn sklearn

Last synced: 05 Jan 2026

https://github.com/rexsimiloluwah/fastapi-ml-apps

Machine learning apps built with FastAPI

docker fastapi machine-learning python scikit-learn tensorflow

Last synced: 05 Apr 2026

https://github.com/bacross/datamunger

python package for handling nan's and outliers

data data-frame datamunger knn nan outliers python scikit-learn

Last synced: 17 May 2026

https://github.com/ki3mono/naive_bayes_classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

https://github.com/djleamen/music-mood-matcher-demo

An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.

demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn

Last synced: 11 Apr 2026