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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/oneapi-src/intelligent-indexing

AI Starter Kit for Intelligent Indexing of Incoming Correspondence using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/superbderrick/creditratingprediction

A simple data prediction system that evaluates creditRating with a little bit data

scikit-learn tensorflow

Last synced: 06 Nov 2024

https://github.com/gxuravkumar911/tubedigest

Demonstrating expertise in Python and Django, TubeDigest is a robust web application that leverages NLTK and YouTube API for AI-powered video summarization.

artificial-intelligence django machine-learning natural-language-processing nltk python scikit-learn text-analysis tf-idf web-development

Last synced: 10 Oct 2024

https://github.com/magnusax/automl

The project aims to develop a customized ML framework on top of existing libraries

data-science machine-learning machine-learning-algorithms machine-learning-library python scikit-learn

Last synced: 14 Oct 2024

https://github.com/joseabrantesjr/previsai

O PrevisAI é uma aplicação que utiliza tecnica avançada de deep-learning para prever os preços de fechamento de ações, ETFs, Fundos Imobiliários, Criptomoedas, etc.

acoes criptomoedas deep-learning etf fii keras mercado-financeiro numpy pandas previsao python scikit-learn tensorflow trade trading yfinance

Last synced: 31 Oct 2024

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/marella/evaluate

A tool to evaluate the performance of various machine learning algorithms and preprocessing steps to find a good baseline for a given task.

lightgbm machine-learning python scikit-learn xgboost

Last synced: 25 Oct 2024

https://github.com/lorey/data-intensive-latex-documents

Python framwork for data-intensive LaTeX documents.

automation latex machine-learning scikit-learn sklearn

Last synced: 14 Oct 2024

https://github.com/cyberfantics/bitcoin-price-prediction

A deep learning-based web app for predicting future Bitcoin prices using historical data. Users can interactively select prediction days and view recent price data in real-time.

artificial-intelligence artificial-neural-networks bitcoin deep-learning machine-learning neural-network prediction-model scikit-learn tensorflow

Last synced: 02 Nov 2024

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

A collection of machine learning projects featuring models and algorithms for supervised and unsupervised learning, model evaluation, and optimization.

jupyter matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Oct 2024

https://github.com/thenorthkun/twitter-gender-text-analysis

This Project contains a vivid analysis of texts, words (using NLP) typed by Male & Female users active on Twitter. 🐦👨📝

analysis data-visualization natural-language-processing scikit-learn

Last synced: 14 Oct 2024

https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 Nov 2024

https://github.com/spockoo/pylegend

A fusion between Python and legend, a name that suggests that the code is both modern and mythical. 3 months of work, with tons of errors to establish the calculations necessary for the superposition, I want to publish my work and improve it and share it under Apache 2.0 License. Designed to work with NBminer!

crypto crypto-tools how-to-farm-crypto kerastuner matplotlib matrix-multiplication mining nbminer numpy performance-optimization pickle project quantum quantumcircuits quantumcomputing qubits scikit-learn tensorflow

Last synced: 10 Oct 2024

https://github.com/shreyansh055/time-series-forecasting_055

The Time Series Forecasting Project predicts future trends using historical data with Python, Pandas, and models like ARIMA, LSTM, and Prophet, focusing on scalable, accurate forecasting for business and finance.

lstm matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/markdouthwaite/lingo

A package for quickly deploying Scikit-Learn Linear Models in Go.

golang linear-models machine-learning scikit-learn

Last synced: 13 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/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/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/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/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/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/aahnik/gdsc-ml-ds-bootcamp-2023

This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.

data-science machine-learning ml numpy pandas python3 scikit-learn

Last synced: 11 Oct 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/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/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/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/ayushshahh/fespn

A neural network made to predict final exam scores of students

mlp mlp-regressor multilayer-perceptron neural-network prediction-model scikit-learn

Last synced: 18 Oct 2024

https://github.com/sethios-notebook/__ia_learnig__

Formation Python spéciale Machine Learning francais. Apprendre Python en 30 fichiers qui contiennent une formation sur Numpy, Pandas, Matplotlib, Scipy, Sklearn, Seaborn, H5py, et bien d'autres techniques. Python est le langage d'excellence pour le machine learning, le deep learning, et la data science.

iac machine-learning matplotlib numpy python scikit-learn

Last synced: 03 Nov 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/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/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/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/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/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/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/kingabzpro/mlops-with-jenkins

From data ingestion to deploying the model using Jenkins.

classification fastapi jenkins mlops scikit-learn

Last synced: 13 Oct 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/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: 03 Aug 2024

https://github.com/chanioxaris/german-credit-data

Experimental classification algorithms on german credit data implemented using scikit-learn library

classification classifier cross-validation dataset information-entropy information-gain naive-bayes prediction random-forest scikit-learn support-vector-machines

Last synced: 02 Nov 2024

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: 05 Nov 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/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 30 Oct 2024

https://github.com/gmontamat/quora-question-pairs

Code for the Kaggle competition "Quora Question Pairs"

kaggle-competition quora-question-pairs scikit-learn spell-checker xgboost

Last synced: 30 Oct 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/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/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/ivanyu/kaggle-digit-recognizer

Kaggle's "Digit Recognizer" competition

kaggle keras machine-learning scikit-learn

Last synced: 15 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/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: 05 Nov 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/bestmahdi2/uni__dataminningstackoverflowproject

A university project related to data mining lesson on StackOverflow website data with Python language

cart csv data-mining logistic-regression matplotlib mlp naive-bayes nltk numpy pandas python scikit-learn scipy seaborn stackoverflow svc textblob tqdm xgboost

Last synced: 14 Oct 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/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/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/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/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/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: 10 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/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/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/bhuvaneshwarguttula/student-performance-indicator

To understand and predict how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).

exploratory-data-analysis machine-learning pandas python scikit-learn student-performance-analysis

Last synced: 10 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/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/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: 10 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/swimshahriar/heart-attack-prediction

Heart attack prediction from 13 features.

jupyter-notebook pandas python3 scikit-learn

Last synced: 02 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 59 General 25 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