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scikit-learn

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

https://github.com/grampers-dev/co2oracle

The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn

Last synced: 10 Oct 2024

https://github.com/george-gca/ai_papers_search_tool

Automatic paper clustering and search tool by fastext from Facebook Research

fasttext fasttext-embeddings fasttext-python nlp python scikit-learn

Last synced: 11 Oct 2024

https://github.com/asosnovsky/analyzing-blood-vessel-aneurysm

A few simple scripts to identify aneurysm in a blood-vessel (research projects)

machine-learning meanshift medical-image-processing scikit-learn

Last synced: 13 Oct 2024

https://github.com/kohlerhector/trex-tree-reward-exploration

Using Tree estimators of the MDP models to then count leaves grouping similar transitions and do count-based exploration.

decision-trees drl exploration rl scikit-learn stable-baselines3

Last synced: 08 Nov 2024

https://github.com/priyanshulathi/url-based-web-phishing-detection-model

A machine learning project for detecting phishing URLs by extracting key features from web addresses and applying various classification algorithms to identify potential threats effectively.

decision-tree knn logistic-regression machine-learning python random-forest scikit-learn

Last synced: 13 Oct 2024

https://github.com/jordandeklerk/pygridge

A scikit-learn compatible Python package for data-driven group regularized ridge regression

python regression regularized-regression scikit-learn

Last synced: 31 Oct 2024

https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning

This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.

matplotlib numpy pandas python scikit-learn seaborn support-vector-machine

Last synced: 31 Oct 2024

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 13 Oct 2024

https://github.com/rajikaimal/emma

:santa: Intelligent mention bot for GitHub organizations

bot emma machine-learning python scikit-learn

Last synced: 27 Oct 2024

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: 14 Oct 2024

https://github.com/edikedik/eboruta

Flexible and transparent Python Boruta implementation

ensemble-models feature-selection machine-learning python scikit-learn

Last synced: 13 Oct 2024

https://github.com/mohammadreza-mohammadi94/data-analysis-and-machine-learning-projects

A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.

data-analysis data-science dataframes exploratory-data-analysis pandas python scikit-learn visualization

Last synced: 07 Nov 2024

https://github.com/rajaprerak/ml_dl_webapp

Machine learning and Deep learning project

flask heroku keras knearest-neighbors python scikit-learn tensorflow

Last synced: 06 Nov 2024

https://github.com/labrijisaad/chefclub-data-internship

Repository showcasing my Data Engineer / Scientist internship at Chefclub, contributing to data infrastructure enhancement and fostering data-driven insights.

airflow chefclub data-engineering data-science gcp scikit-learn

Last synced: 06 Nov 2024

https://github.com/labrijisaad/monthly-daily-energy-forecasting-docker-api

This repository houses an Energy Forecasting API that uses Machine Learning to predict daily and monthly energy consumption from historical data. It's designed as a practical demonstration of a Machine Learning Engineering workflow, from initial analysis to a deployable API packaged with Docker.

api docker jupyter-notebooks machine-learning makefile python random-forest scikit-learn xgboost

Last synced: 06 Nov 2024

https://github.com/vatshayan/hospital-discharge-analysis

Analysis of Hospitalization Discharge Rates in Lake County, Illinois of various attributes like Anxiety, Alcohol, mood, Diabetes, Asthma, etc

data-analysis data-visualization jupyter-notebook machine machine-learning machine-learning-algorithms scikit-learn

Last synced: 11 Oct 2024

https://github.com/paulj1989/bulgarian-constitutional-court-decisions

Developing NLP models for text and sentence classification using legal texts from the Bulgarian constitutional court.

keras neural-network nlp scikit-learn tensorflow tesseract

Last synced: 06 Nov 2024

https://github.com/flysirin/adstextclassification

Classification of advertisements by topic

docker excel flask pandas python pytorch scikit-learn

Last synced: 13 Oct 2024

https://github.com/marty1885/scirknn

Convert and run scikit-learn models into RKNN2 format to run on Rockchip NPUs.

npu rknn rknpu2 rockchip scikit-learn

Last synced: 15 Oct 2024

https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model

This project implements a spam detection system for SMS messages using machine learning techniques.

mathplotlib nltk numpy panda python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/rakibhhridoy/machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest

Last synced: 06 Nov 2024

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

Heart attack prediction from 13 features.

jupyter-notebook pandas python3 scikit-learn

Last synced: 02 Nov 2024

https://github.com/rakibhhridoy/supportvectormachinein-medical

Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.

diabetes-prediction machine-learning medical precision-medicine recall-precision scikit-learn support-vector-machines svm

Last synced: 06 Nov 2024

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 Nov 2024

https://github.com/karimosman89/legal-document-nlp

Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.

nltk python scikit-learn spacy

Last synced: 07 Nov 2024

https://github.com/veb-101/machine-learning-practice

Contains code-works from the Hands on scikit-learn and tensorflow book

deep-learning keras machine-learning python3 scikit-learn tensorflow-gpu

Last synced: 05 Nov 2024

https://github.com/gappeah/income-prediction-ml

This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.

data data-science machine-learning ml numpy pandas python random-forest scikit-learn

Last synced: 10 Oct 2024

https://github.com/udityamerit/all_mlpackages

The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.

classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model

Last synced: 31 Oct 2024

https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 31 Oct 2024

https://github.com/sd338/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: 31 Oct 2024

https://github.com/noahtigner/discoverdaily

A Spotify Recommender System. Trains a Classifier on your musical tastes and recommends songs daily. Uses the Spotify API and scikit-learn for machine learning.

machine-learning recommender-system scikit-learn spotify spotify-api

Last synced: 04 Nov 2024

https://github.com/md-emon-hasan/ml-project-car-price-prediction

🚗 End-to-end ML project for predicting car prices based on various features. Includes data preprocessing, model training, and a Flask web for predictions.

car-price-prediction car-price-predictor data-science feature-engineering ml predictive-modeling scikit-learn

Last synced: 10 Oct 2024

https://github.com/kingabzpro/water-quality-app

Building an Water Quality Classifier Application with o1-preview Model

chatgpt docker huggingface o1-preview scikit-learn

Last synced: 12 Oct 2024

https://github.com/mg380/ibm-applied-data-science-capstone

This Capstone is the 10th (final) course in IBM Data Science Professional Certificate specialization, and it actually summarises in the form of project all materials that have been learned during this specialization

capstone data data-analysis data-science datascience ibm machine-learning plotly python scikit-learn sql

Last synced: 10 Oct 2024

https://github.com/lechemi/machine-learning-vademecum

Un notebook contenente nozioni di base ed esempi pratici in python sul machine learning.

machine-learning python scikit-learn

Last synced: 31 Oct 2024

https://github.com/corentinth/ml-gender_classification

[Machine Learning] The Hello Wolrd of Machine Learning using sklearn

body-metrics gender-classification machine-learning scikit-learn

Last synced: 02 Nov 2024

https://github.com/jesly-joji/spam-ham-classifier

Used Naive Bayes Algorithm, NLP Text Preprocessing Techniques

naive-bayes-classifier nlp scikit-learn streamlit text-preprocessing

Last synced: 01 Nov 2024

https://github.com/mindful-ai-assistants/credit-card-prediction

💳 This repository focuses on building a predictive model to assess the likelihood of credit card defaults. The project includes data analysis, feature engineering, and machine learning to provide accurate default predictions.

jupyter logistic-regression machine-learning python3 scikit-learn

Last synced: 21 Oct 2024

https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier

Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.

bagging-classifier machine-learning matplotlib numpy python scikit-learn

Last synced: 08 Nov 2024

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: 05 Nov 2024

https://github.com/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/rizz1406/spam-email-detector

Spam Email Classifier using Python and Streamlit A simple machine learning project that classifies emails as **spam** or **ham** using the **Naive Bayes algorithm** and **TF-IDF** for text feature extraction. The project includes a user-friendly web app built with Streamlit

nlp pandas pytho3 scikit-learn streamlit

Last synced: 31 Oct 2024

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: 05 Nov 2024

https://github.com/adzialocha/notebook

Jupyter notebooks for random experiments with audio processing, data analysis and machine learning

jupyter-notebook keras learning librosa music21 scikit-learn

Last synced: 05 Nov 2024

https://github.com/skekre98/picture-compressor

A tool for compressing images using unsupervised machine learning

kmeans-clustering scikit-learn

Last synced: 13 Oct 2024

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: 27 Oct 2024

https://github.com/texnoforge/texnomagic

TexnoMagic library for digital Magic

gmm magic numpy python recognition scikit-learn scipy

Last synced: 11 Oct 2024

https://github.com/chrislemke/scikit-tabtrans

TabTransformer ready for Scikit learn 🧑‍🔬

deep-learning machine-learning python scikit-learn transformer

Last synced: 11 Oct 2024

https://github.com/ishanoshada/matplot3dex

A Matplotlib 3D Extension package for enhanced data visualization

data data-science matplotlib python-packages scikit-learn

Last synced: 14 Oct 2024

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: 19 Oct 2024

https://github.com/jesly-joji/house-price-prediction

House Price Prediction using Linear Regression with Scikit-learn and Flask

flask scikit-learn

Last synced: 13 Oct 2024

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 03 Nov 2024

https://github.com/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 03 Nov 2024

https://github.com/an-exodus/dubai-real-estate-price-prediction-ml

This repository contains a comparative analysis of machine learning algorithms to predict real estate prices in Dubai. Using data from Bayut, we evaluate Decision Tree, Linear Regression, Random Forest, and Gradient Boosting models based on their predictive accuracy.

decision-tree gradient-boosting linear-regression machine-learning random-forest scikit-learn

Last synced: 03 Nov 2024

https://github.com/prithivsakthiur/data-board

Data Boards - Visualization of various plots ( Analysis )

data-analysis gradio huggingface keras mathplotlib pandas plots pyplot scikit-learn seaborn spaces

Last synced: 03 Nov 2024

https://github.com/zen204/airbnb_availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 03 Nov 2024

https://github.com/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 08 Nov 2024

https://github.com/priboy313/pandasflow

A set of custom python modules for friendly workflow on pandas

catboost data-analysis data-science pandas phik python scikit-learn shap

Last synced: 03 Nov 2024

https://github.com/aakanksha1406/fake-news-classifier

to identify when an article might be fake news

keras lstm lstm-neural-networks nltk python scikit-learn tensorflow

Last synced: 10 Oct 2024

https://github.com/pankajarm/tabular_ml_toolkit

A helper library to jumpstart your machine learning project based on tabular or structured data.

data-science feature-engineering hyperparameter-tuning machine-learning parallelism python scikit-learn structured-data tabular xgboost

Last synced: 03 Nov 2024

https://github.com/ivanyu/kaggle-digit-recognizer

Kaggle's "Digit Recognizer" competition

kaggle keras machine-learning scikit-learn

Last synced: 15 Oct 2024

https://github.com/bistcuite/plainml

Painless Machine Learning Library for python based on scikit-learn

machine-learning ml plainml python scikit-learn

Last synced: 19 Oct 2024

https://github.com/vaibhavs10/learn-ml

Modified notebooks (single) from kaggle.com/learn with added nuances

decision-trees machine-learning pandas random-forest scikit-learn

Last synced: 25 Oct 2024

https://github.com/samarpan-rai/serveitlearn

It creates an extremely thin layer around FastAPI library which allows you to create an end point super fast.

fastapi inference ml pypi scikit-learn

Last synced: 30 Oct 2024

https://github.com/raihan4520/ml

A collection of machine learning projects showcasing various algorithms and techniques, including a final project for the Machine Learning course at AIUB.

data-preprocessing jupyter-notebook machine-learning model-evaluation numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/vishal-038/attendance_by_face_recogination

This project is a face recognition-based attendance system that uses Python, OpenCV, Scikit-learn, Streamlit, and various other libraries like Pandas, Numpy, Datetime, and OS for different functionalities. It enables adding faces to the database, taking attendance based on face recognition, and showing live attendance through a web interface built

opencv python scikit-learn

Last synced: 09 Oct 2024

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: 10 Oct 2024

https://github.com/rakshit-vasava/predictive-analytics-for-insurance-purchase

Predicting customer insurance purchases using stacking models and SMOTE for the Homesite Quote Conversion Problem on Kaggle.

k-nearest-neighbours kaggle-competition multilayer-perceptron python random-forest scikit-learn smote support-vector-machines

Last synced: 31 Oct 2024

https://github.com/monzerdev/fake-news-detection

Project implementing machine learning models to detect fake news articles. Utilizes Deep Neural Networks, Support Vector Machines (SVM), and Ensemble methods (Random Forest). Developed using Python with scikit-learn, PyTorch, and nltk.

dnn fakenewsdetection machinelearning nlp nltk python pytorch random-forest scikit-learn svm

Last synced: 03 Nov 2024

https://github.com/ksatrajit0/heart-disease-prediction-ml

Predicts the risk of heart attack in a patient using their medical record

heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 07 Nov 2024

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 05 Nov 2024

https://github.com/gangula-karthik/altitude-analytics

Developed a powerful model that predicts airline review sentiments—promoter, passive, or detractor—to help airlines sharpen their marketing strategies and boost customer loyalty 🚀 ✨

airlines data-science machine-learning python scikit-learn sentiment-analysis supervised-learning

Last synced: 05 Nov 2024

https://github.com/iamriteshkoushik/skrun

18hrs Scikit Learn Course Speedrun Repo

freecodecamp machine-learning scikit-learn

Last synced: 05 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 59 General 26 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Deployment 7 Visualization 6 Model Explanation 5 Probabilistic Methods 5 Optimization 4 Reinforcement Learning 4 Computations 4 Time Series 3 Natural Language Processing 3 Web Scraping 3 Experimentation 2 Distributed Computing 2 Computer Vision 2 Feature Engineering 2 Automated Machine Learning 2