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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/smahala02/svm-machine-learning

This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.

classification data-science machine-learning python scikit-learn svm

Last synced: 12 Oct 2024

https://github.com/dwija12903/password-strength-checker

A Model to evaluate the strength of passwords and enhance security for your applications.

matplotlib pandas scikit-learn seaborn xgboost

Last synced: 12 Oct 2024

https://github.com/sdpdas/sm_sentiment_analysis

Using Natural Language Processing (NLP) and pandas, numpy, scikit-learn for classification and applying logistic regression as it is a supervised model, lastly NLTK. Pickle library used for saving and running the model anywhere.

logistic-regression machine-learning nlp scikit-learn sentiment-analysis stemming vectorizer

Last synced: 12 Oct 2024

https://github.com/sonu275981/flight-fare-prediction

End to end implementation of Machine Learning Airline Flight Fare Prediction using python

flight-price-prediction gradient-boosting machine-learning predicts-flight-fares python3 regression-models scikit-learn

Last synced: 05 Nov 2024

https://github.com/jhylin/ml1-1_small_mols_in_chembl

Polars dataframe library and logistic regression in scikit-learn (update)

logistic-regression machine-learning parquet-files polars-dataframe scikit-learn

Last synced: 12 Oct 2024

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 07 Nov 2024

https://github.com/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 11 Oct 2024

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

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

Last synced: 12 Oct 2024

https://github.com/daniel-furman/recfeatureselect

Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).

correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho

Last synced: 13 Oct 2024

https://github.com/baponkar/scikit-logisticregression-application

A simple and detail application analysis of sci kit learn LogisticRegression model .

classification-algorithm logistic-regression machine-learning python3 scikit-learn

Last synced: 07 Nov 2024

https://github.com/ccastleberry/hands_on_machine_learning

Notebooks and files created while working through the book Hands on Machine Learning

data-science jupyter-notebook scikit-learn tensorflow

Last synced: 28 Oct 2024

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 31 Oct 2024

https://github.com/skekre98/movie-recommender

Content-based recommendation engine for movies

cosine-similarity recommendation-system scikit-learn

Last synced: 13 Oct 2024

https://github.com/sudothearkknight/15-machinelearningprojects

A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.

classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection

Last synced: 31 Oct 2024

https://github.com/drorata/mnist-examples

ML examples for the MNIST dataset

machine-learning ml mnist python scikit-learn torch

Last synced: 11 Oct 2024

https://github.com/alchemine/diabetes-prediction

Diabetes Prediction and Analysis (NHIS-2018)

eda jupyter python scikit-learn streamlit

Last synced: 11 Oct 2024

https://github.com/s-matke/eco-forecast

Machine learning model used for predicting European country with most green surplus energy generated

data-science green-energy machine-learning scikit-learn supervised-learning

Last synced: 21 Oct 2024

https://github.com/jofaval/sonar

Binary Classification of Sonar Signals of Rocks and Metal cylinders in 1987

data-analysis data-science data-visualization machine-learning python scikit-learn sonar uci

Last synced: 21 Oct 2024

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

Logistic Regression: A sentiment analysis case study

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

Last synced: 24 Oct 2024

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/filsan95/project-iot_malware_identification

This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.

apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql

Last synced: 13 Oct 2024

https://github.com/sreekar0101/-movie-recommendation-system-using-python

The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice

data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python

Last synced: 13 Oct 2024

https://github.com/mecha-aima/fake-bills-detection

This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features

classification-model machine-learning model-selection scikit-learn

Last synced: 13 Oct 2024

https://github.com/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 12 Oct 2024

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 12 Oct 2024

https://github.com/lucasfrag/dengue-prediction-knc

Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.

data-science knearest-neighbor-classifier machine-learning pandas python scikit-learn

Last synced: 12 Oct 2024

https://github.com/qinhanmin2014/sklearn-svm-guide

Rapidly obtain acceptable results using SVM (based on scikit-learn)

machine-learning scikit-learn svm

Last synced: 28 Oct 2024

https://github.com/gayathri2200/car-price-prediction---machine-learning

Car price prediction Machine Learning --- Which is used to predict the price of used cars based on the features.

data-science machine-learning modeldeployment pandas price-prediction python regression scikit-learn streamlit visual-studio visualization

Last synced: 31 Oct 2024

https://github.com/thmslmr/scikitlearn-examples

💡Scikit Learn examples - Python

python scikit-learn tutorials

Last synced: 07 Nov 2024

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения", бакалавриат, 6 семестр

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 31 Oct 2024

https://github.com/callesjuan/ninjalprm

Protótipo de ferramenta de agrupamento de dispositivos Android por geolocalização (Server)

python scikit-learn xmpp

Last synced: 24 Oct 2024

https://github.com/darenr/gradientboostingmachines

Notebooks exploring strengths and weaknesses of GBM based classifiers

jupyter-notebook lightgbm pandas scikit-learn xgboost

Last synced: 23 Oct 2024

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: 27 Oct 2024

https://github.com/oroszgy/cookiecutter-ml-flask

Cookiecutter template for training and serving machine learning models with scikit-learn, spacy, Flask and Docker

docker flask flask-application machine-learning nlp rest-api scikit-learn spacy

Last synced: 19 Oct 2024

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 31 Oct 2024

https://github.com/alexsolov28/vkrb

Выпускная квалификационная работа бакалавра

matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 31 Oct 2024

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/nits2612/data-science-projects

Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.

data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning

Last synced: 31 Oct 2024

https://github.com/s0fft/airline-passenger-satisfaction

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/enyaude/california_house_price_prediction

Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

jupyter-notebook linear-regression python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/m-muecke/text-normalizer

Text normalizer integration for sklearn.pipeline.Pipeline class

nlp nltk python scikit-learn

Last synced: 28 Oct 2024

https://github.com/pymc-learn/pymc-learn-sphinx-theme

Sphinx theme for Pymc-learn documentation

pymc3 pymc4 scikit-learn sphinx sphinx-theme

Last synced: 19 Oct 2024

https://github.com/kefrankk/ml-fraud-detection

I built a predictive model to detect fraud in financial transactions.

pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 12 Oct 2024

https://github.com/yuji1702/ai--powered-triage-system

This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib

cryptography data-imputation data-preprocessing data-security encryption gui healthcare machine-learning matplotlib medical-data python random-forest realt-time scikit-learn seaborn tkinter triage-system

Last synced: 31 Oct 2024

https://github.com/prakharchoudhary/mlchallenge-2

My submission for machine learning challenge #2, organised by hackerEarth.

adaboost gradient-boosting-classifier jupyter-notebook machine-learning python scikit-learn

Last synced: 12 Oct 2024

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

https://github.com/alainlebret/python-et-ia-2

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 31 Oct 2024

https://github.com/rosieoh/emergency_dataanalysis

오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석

ipython matplotlib numpy pandas python scikit-learn scipy

Last synced: 12 Oct 2024

https://github.com/nickklos10/concrete-compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 24 Oct 2024

https://github.com/nicofilips/cs50ai-harvard

Harvard University Online Course | CS50-AI | Artificial Intelligence with Python | Project Solution

artificial-intelligence harvardcs50 natural-language-processing neuronal-network nltk python scikit-learn tensorflow

Last synced: 14 Oct 2024

https://github.com/gaurangdave/house_price_predictions

Machine Learning Application to predict House Prices

hands-on learning-by-doing machine-learning numpy pandas python scikit-learn

Last synced: 31 Oct 2024

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 13 Oct 2024

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/alyssonmach/machine-learning-com-python

Aplicações de Machine Learning usando a linguagem de programação Python.

ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy

Last synced: 06 Nov 2024

https://github.com/vishal-verma-96/capstone_project_by_skill_academy

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn

Last synced: 18 Oct 2024

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 18 Oct 2024

https://github.com/wuweiweiwu/zookeeper-bot

Bot for Facebook Messenger game Zookeeper using scikit-learn SVM :dromedary_camel:

facebook-messenger scikit-learn svm zookeeper

Last synced: 13 Oct 2024

https://github.com/jainish-prajapati/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 31 Oct 2024

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: 14 Oct 2024

https://github.com/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 15 Oct 2024

https://github.com/kheriberto/linear_regression_ecommerce

Simple project showcasing crafting a linear regression model with SciKit Learn

data-analysis jupyter-notebook linear-regression pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/fahrettinsolak/ai-based-salary-scale-calculation-project

This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.

artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib pandas pyhton scikit-learn

Last synced: 31 Oct 2024

https://github.com/saswatamcode/datascienceapi

This is a RESTful API built using Flask and Scikit-Learn. It provides a host of Classification and Regression algorithms that can be used readily and returns results in the form of predictions, confusion matrices, accuracy scores and more.

api flask ml python3 scikit-learn

Last synced: 13 Oct 2024

https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 01 Nov 2024

https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 01 Nov 2024

https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model

Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".

machine-learning pandas random-forest-regression scikit-learn

Last synced: 01 Nov 2024

https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization

Last synced: 31 Oct 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