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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/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 14 Jan 2025

https://github.com/darkdk123/customer-churn-prediction-innobytes

Predicting Customer churns as an Internship project at Innobytes services.

data-science python scikit-learn streamlit xgboost-classifier

Last synced: 28 Dec 2024

https://github.com/gangula-karthik/bank-transaction-classification

Classifying bank transactions with precision—your first step towards smarter finance management 💳🤖📊

finance machine-learning nlp scikit-learn

Last synced: 22 Dec 2024

https://github.com/rishi035/advanced-house-price-predictions

This is my First Project and also participated in kaggle competition

linear-regression machine-learning python random random-forest regressor-models scikit-learn

Last synced: 01 Jan 2025

https://github.com/prashver/end-to-end-model-deployment-on-aws

Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.

amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn

Last synced: 14 Jan 2025

https://github.com/ericmaddox/crime-analyst-ai

AI-powered Python project that analyzes crime data, predicts trends using advanced models, and visualizes insights on interactive maps with validation for accuracy and reliability.

ai artifical-intelligence crime-analysis crime-data crime-data-analysis crime-prediction crime-statistics ollama ollama-api python python3 scikit-learn

Last synced: 08 Jan 2025

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 25 Dec 2024

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

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

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

Last synced: 01 Jan 2025

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: 28 Dec 2024

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 01 Jan 2025

https://github.com/dmschauer/aws-sagemaker-deployment-test

I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.

aws boto3 python sagemaker scikit-learn

Last synced: 08 Jan 2025

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 30 Dec 2024

https://github.com/adadalshabab/human-stress-analysis-greadsearch-classifier

The project leverages data from physiological signals, self-reported surveys, behavioral observations, or other relevant sources to infer and analyze stress levels.

classification knn-classification machine-learning machine-learning-algorithms matplotlib pandas scikit-learn

Last synced: 21 Jan 2025

https://github.com/myahninsi/housing-price-prediction-ml

Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.

elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn

Last synced: 30 Dec 2024

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 30 Dec 2024

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

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

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/oneapi-src/customer-churn-prediction

AI Starter Kit for customer churn prediction using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company

The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.

churn-analysis churn-prediction kaggle machine-learning pandas random-forest-classifier scikit-learn

Last synced: 26 Dec 2024

https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn

Last synced: 30 Dec 2024

https://github.com/rahulb813/mvscr

An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.

gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost

Last synced: 02 Jan 2025

https://github.com/wlopezm-unal/titanic_ship-streamlit

Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result

docker machine-learning optuna scikit-learn streamlit supervised-machine-learning

Last synced: 08 Jan 2025

https://github.com/sundarmd/breast-cancer-detection

Breast-Cancer-Detection is a machine learning project that utilizes logistic regression to predict whether a tumor is benign or malignant based on the Breast Cancer Wisconsin (Diagnostic) dataset. The project demonstrates data preprocessing, model training, and evaluation using the `scikit-learn` library.

logistic-regression machine-learning python scikit-learn

Last synced: 30 Dec 2024

https://github.com/csengupta1101/housing-price-prediction

Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.

jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode

Last synced: 29 Dec 2024

https://github.com/myahninsi/customer-segmentation-recommendation-ml

This project addressed challenges in understanding customer behavior and personalizing shopping experiences for an e-commerce platform. Developed ML solutions including K-Means clustering for segmentation, Random Forest regression for CLV prediction, and collaborative filtering for product recommendations.

collaborative-filtering k-means-clustering pandas python random-forest scikit-learn

Last synced: 30 Dec 2024

https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost

Last synced: 26 Dec 2024

https://github.com/rcghpge/pymo

A framework in Mojo for AI/ML/DL applications and other domains.

deep-learning machine-learning magic-cli modular mojo mojo-language pymo python scikit-learn

Last synced: 21 Jan 2025

https://github.com/gustaminas/ai_primer---flatland

A project from the AI_primer course at Vilnius university.

cnn-keras data-augmentation data-mixup dropout-keras scikit-learn shape-classification

Last synced: 01 Feb 2025

https://github.com/davidcgong/birddog.io

Real estate forecasting using Zillow Research data

forecasting pandas scikit-learn

Last synced: 21 Dec 2024

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 21 Dec 2024

https://github.com/myself-aas/predict-influence-of-social-media-and-other-socio-demographic-factors-on-study-duration

'The Study Duration Prediction Web App' uses machine learning to predict student study time based on factors like GPA, family background, social media engagement, and personal influences. Built with Flask and scikit-learn, it offers personalized insights into how lifestyle choices affect academic performance and study habits.

flask-application machine-learning machine-learning-algorithms prediction-model python scikit-learn scikitlearn-machine-learning webapp

Last synced: 19 Jan 2025

https://github.com/nicolascoiado/mulheres-ti

Este repositório contém um código em Python para analisar a evolução do número de mulheres na área de Tecnologia da Informação (TI) ao longo dos anos. Utilizando pandas para manipulação de dados e scikit-learn para criar um modelo de regressão linear, o objetivo é prever quantas mulheres estarão na TI em 2024 com base em dados históricos.

linear-regression matplotlib pandas python python3 scikit-learn

Last synced: 21 Dec 2024

https://github.com/thammami01/simple-recruitment-ml

Simple recruitment app that allows job posting/application, and viewing regression/classification figures based on entries.

flask matplot-lib mongodb python scikit-learn

Last synced: 14 Jan 2025

https://github.com/ledsouza/machine-learning-semisupervisionado

Este projeto utiliza algoritmos de aprendizado de máquina semi-supervisionado para classificar a qualidade do leite como alta, média ou baixa.

data-science joblib machine-learning machine-learning-algorithms pandas python scikit-learn

Last synced: 14 Jan 2025

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 03 Feb 2025

https://github.com/siddhesh-agarwal/cognizant-prodigi-22

Supply chain event predictability and Visibility

fastapi javascript python react scikit-learn solidity sqlite typescript

Last synced: 14 Jan 2025

https://github.com/thiagohrcosta/movieapp-ml

The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.

docker flask-api machine-learning mysql-database postgresql python scikit-learn

Last synced: 03 Feb 2025

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

💡Scikit Learn examples - Python

python scikit-learn tutorials

Last synced: 29 Dec 2024

https://github.com/jatin-mehra119/churn_modeling

This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.

classification-model datavisualization pandas scikit-learn

Last synced: 17 Jan 2025

https://github.com/5hraddha/optimize-oil-well-locations

In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.

linear-regression numpy pandas scikit-learn supervised-learning

Last synced: 07 Jan 2025

https://github.com/yuanx749/mlp-pytorch

PyTorch MLP with scikit-learn API.

pytorch scikit-learn

Last synced: 08 Jan 2025

https://github.com/5hraddha/megaline-plan-recommendations

Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate.Megaline has found out that many of their subscribers use legacy plans. They want to develop a model that would analyze subscribers' behavior and recommend one of Megaline's newer plans: Smart or Ultra.

decision-tree-classifier logistic-regression random-forest-classifier scikit-learn supervised-learning

Last synced: 07 Jan 2025

https://github.com/anras5/criteo-search-data

EDA and statistical tests on CriteoSearchData dataset

data-science pandas scikit-learn statistics

Last synced: 21 Jan 2025

https://github.com/joekakone/prostate-cancer-prediction

Predict Prostate Cancer Diagnosis using ML

machine-learning scikit-learn

Last synced: 14 Jan 2025

https://github.com/bniladridas/churnprediction

Customers who'll likely stop using subscriptions.

dataset keras numpy pandas scikit-learn seaborn

Last synced: 21 Jan 2025

https://github.com/tanaybhadula/ml-preprocessing-cli

A CLI tool with python to preprocess datasets for performing supervised learning to save time for users. Input data can be preprocessed using simple commands and preprocessed dataset can be downloaded later

cli data-cleaning data-preprocessing machine-learning pandas python scikit-learn

Last synced: 10 Jan 2025

https://github.com/bniladridas/sentiment-analysis

A sentiment analysis project using Naive Bayes in Python.

jupyter-notebook pandas python scikit-learn

Last synced: 21 Jan 2025

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

This is Machine Learning based project where different Ensemble Techniques are used to train our model. The whole project is created using Scikit-learn Pipeline.

machine-learning scikit-learn scikit-learn-pipelines

Last synced: 21 Jan 2025

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 13 Jan 2025

https://github.com/akshaya13/recommendation-system

Content Based Recommendation system using tags!

nltk scikit-learn similarity-search tmdb-database

Last synced: 08 Jan 2025

https://github.com/elifirinci/mushrooms-plants-classification

This project features AI models for identifying mushrooms and plants as poisonous or edible using image-based predictions. Both models are tested through an interactive Gradio interface, ensuring user-friendly and accurate identification for foragers and researchers.

classification cnn cnn-classification gradio image-classification machine-learning mushroom-classification plant-classification scikit-learn

Last synced: 08 Jan 2025

https://github.com/srosalino/prediction_of_seoul_bikes_demand

The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible

cross-validation data-exploration-and-preprocessing hyperparameter-tuning machine-learning regularization-methods scikit-learn

Last synced: 08 Jan 2025

https://github.com/shaharband/calcofi-oceanographic-analysis

This repository contains an analysis of the CalCOFI (California Cooperative Oceanic Fisheries Investigations) dataset, which represents one of the longest and most complete time series of oceanographic and larval fish data in the world.

pandas regression scikit-learn

Last synced: 27 Dec 2024

https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 21 Dec 2024

https://github.com/pranav-tank/heart-disease-prediction-model

I have created this project as my Python term assignment. In this project I have trained a ML model to predict the heart disease using Scikit-learn library in python.

google-colaboratory jupyter-notebook machine-learning prediction-model python scikit-learn

Last synced: 21 Dec 2024

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn

Last synced: 02 Jan 2025

https://github.com/mastermindromii/car-price-prediction-model

Here is My Regression Project based on Predicting Price of Car using Linear Regression.

linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 08 Jan 2025

https://github.com/iamwatchdogs/cardiovascular-risk-prediction

This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.

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

Last synced: 14 Jan 2025

https://github.com/pejpero/machine_learning

This repository contains two comprehensive machine learning projects using scikit-learn, demonstrating ensemble learning with a Voting Classifier and the comparison of linear and polynomial regression models on different datasets.

ensemble-learning linear-regression logistic-regression machine-learning polynomial-regression random-forest scikit-learn svm

Last synced: 21 Dec 2024

https://github.com/kavyachouhan/fake-news-detection-dravidian-language

This repository contains the code and resources for a machine learning project focused on detecting fake news in the Malayalam language, developed as part of the IITM-PAN BS AI-ML Challenge.

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

Last synced: 21 Dec 2024

https://github.com/chanmeng666/mnist-handwritten-digit-recognition-project

A comprehensive implementation and analysis of handwritten digit recognition using multiple neural network architectures on the MNIST dataset. Features basic MLP, optimized feature-selected model, and deep CNN approaches with detailed performance comparisons and visualizations.

cnn computer-vision data-analysis data-visualization deep-learning feature-analysis handwritten-digit-recognition keras machine-learning mlp mnist model-optimization neural-networks python scikit-learn tensorflow

Last synced: 02 Jan 2025

https://github.com/armahdavi/code-data-analytics-pipelines-statistics-ml-pm-psd_residential-qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 10 Jan 2025

https://github.com/aravind-selvam/student_exam_performance_predictor

Sample Machine learning project, The project uses Sklearn’s regression techniques such as XGboost and Random forests to train and test the model on student data. Deployed on Heroku with Flask application

flask-application heroku machine-learning python scikit-learn

Last synced: 14 Jan 2025

https://github.com/harris-giki/cancerdetectionmodel_ml

Simple Logistic Regression and Neural Network powered Machine Learning models that predicts whether a breast tumor is malignant or benign based on input features extracted from a breast cancer dataset.

cancer-detection development keras keras-tensorflow logistic-regression machine-learning neural-network scikit-learn streamlit tensorflow

Last synced: 03 Feb 2025

https://github.com/jofaval/ionosphere

Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988

data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost

Last synced: 04 Feb 2025

https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 21 Dec 2024

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 13 Jan 2025

https://github.com/das-amlan/delay-prediction-in-urban-mobility-networks

Predicting delays in Urban mobility netwrok using different ML algorithms.

delay-prediction gradient-boosting machine-learning python r scikit-learn

Last synced: 14 Jan 2025

https://github.com/g-eoj/kaggle-rotten-tomatoes

Movie review sentiment analysis with the Stanford parsed Rotten Tomatoes dataset.

cross-validation nlp nltk rotten-tomatoes scikit-learn

Last synced: 21 Jan 2025

https://github.com/lucasfranklinsilva/rnn-lstm

Modelo de Prevenção de Falhas em Turbinas Simuladas Utilizando Redes Neurais Recorrentes

data-visualization deep-learning jupyter-notebook keras machine-learning neural-networks python scikit-learn

Last synced: 14 Jan 2025

https://github.com/raghavendranhp/industrial_copper_modelling

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

classification-models copper decision-tree-classifier decision-tree-regression pickle-file predictive-modeling regression-models scikit-learn

Last synced: 07 Jan 2025

https://github.com/andrewjmack/cryptoclustering

The purpose of this project is to utilize knowledge of Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes. Methods for analysis include K-Means clustering and dimensional reduction through Principal Component Analysis ("PCA").

jupyter-notebook pandas python scikit-learn

Last synced: 14 Jan 2025

https://github.com/andrewjmack/credit-risk-classification

Supervised learning model trained and evaluated on loan risk for potential use in the prediction of the creditworthiness of an applicant

banking loan-prediction-analysis machine-learning pandas python scikit-learn supervised-learning

Last synced: 14 Jan 2025

scikit-learn Awesome Lists
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scikit-learn Categories
Other Awesome Lists 67 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Visualization 6 Deployment 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