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Projects in Awesome Lists tagged with skit-learn

A curated list of projects in awesome lists tagged with skit-learn .

https://github.com/abubakkar32/machine-learning-practice

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

automation big-data chatbot data-analysis data-visualization datastractures machine-learning mathplotlib nlp-machine-learning numpy pandas plotly pypdf2-lib pytest python3 seaborn selenium-webdriver skit-learn webscraping

Last synced: 23 Mar 2025

https://github.com/ksharma67/heart-failure-prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost

Last synced: 20 Jul 2025

https://github.com/aifia105/linear-regression-with-gradient-descent

linear regression model with gradient descent

gradient-descent python skit-learn

Last synced: 05 Mar 2025

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 31 Dec 2025

https://github.com/ankur-mali/predictive-maintenance-using-ai-

An interactive dashboard for predictive maintenance of turbofan engines. This project leverages NASA's CMAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset to monitor engine health, analyze sensor trends, and predict the Remaining Useful Life (RUL) of aero-engines.

python3 random-forest skit-learn streamlit

Last synced: 29 Mar 2025

https://github.com/ayeshaaaaaaaaa/resume-classification-system

AI-powered resume classification system can accurately and efficiently analyze resumes, extract relevant information, and categorize them into predefined categories or job roles.

artificial-intelligence classification machine-learning neural-networks prediction prediction-model python skit-learn tensorflow

Last synced: 20 Feb 2025

https://github.com/sydney205/primary-energy-consumption

Analysis of global primary energy consumption trends for various countries.

analysis matplotlib prediction python skit-learn

Last synced: 25 Mar 2025

https://github.com/psavarmattas/cardiovascular-heart-disease-prediction-model

This dataset contains detailed information on the risk factors for cardiovascular disease.

ai jupyter-notebook ml python research-paper skit-learn

Last synced: 04 Dec 2025

https://github.com/samuelbarbosadev/health_insurance

A previsão de seguro médico é crucial na área da saúde, pois prevê os custos médicos e ajuda as organizações de saúde a se prepararem para as despesas.

api docker fastapi flask linear-regression machine-learning pandas pipeline skit-learn

Last synced: 30 Dec 2025

https://github.com/amruta33/telecom-churn-case-study

Building a classification model for reducing the churn rate for a telecom company.

logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels

Last synced: 21 Jul 2025

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 31 Dec 2025

https://github.com/jaydenth/churn-prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

confusion-matrix crossvalidation decision-trees hyperparameter-tuning logistic-regression machine-learning model pipeline random-forest skit-learn svm-classifier

Last synced: 05 Mar 2025

https://github.com/samuelbarbosadev/fraud_detection_in_vehicle_insurance

Com objetivo de reduzir custos, uma seguradora está reformulando o processo de análise de fraudes em acionamentos de seguros de automóveis. Essa fraude ocorre da seguinte forma, o solicitante aciona o seguro alegando um acidente e danos que não ocorreram de fato. Na verdade, foram simulados de alguma forma.

churn-prediction classification-model data-cleaning imbalanced-data machine-learning pipeline python skit-learn

Last synced: 22 Mar 2025

https://github.com/samuelbarbosadev/linear_regression_for_marketing

Uma empresa está investindo mensalmente em plataformas de publicidade online, como Youtube, Facebook e newspaper, para a prospecção de leads (pessoas interessadas em seus produtos). A fim de acompanhar o desempenho desses investimentos, a empresa registra todos os gastos com publicidade e todos os retornos de vendas gerados a partir desses inves...

linear-regression machine-learning marketing python skit-learn

Last synced: 22 Mar 2025

https://github.com/samuelbarbosadev/telecom_customer_churn

Uma empresa de telecomunicações que fornece serviços está preocupada em reduzir a taxa de retenção de seus clientes. Portanto, o gerente de CRM me contratou para que eu desenvolva um modelo de previsão de clientes que provavelmente irão parar de utilizar os serviços da empresa.

churn-prediction data-cleaning imbalanced-data machine-learning pipeline python skit-learn

Last synced: 22 Mar 2025

https://github.com/samuelbarbosadev/telco_customer_churn

A fictional telco company that provided home phone and Internet services to 7043 customers in California in Q3.

churn-prediction deploy-model machine-learning pandas pipeline python skit-learn

Last synced: 22 Mar 2025

https://github.com/samuelbarbosadev/customer_segmentation_for_marketing

Você foi contratado por uma empresa de e-commerce que está buscando entender melhor o comportamento de seus clientes para personalizar as suas campanhas de marketing. Para isso, a empresa disponibilizou uma base de dados em csv contendo dados sobre clientes, produtos e transações da loja realizadas entre os anos de 2010 e 2011.

clustering-model machine-learning pandas python skit-learn

Last synced: 22 Mar 2025

https://github.com/ahmed122000/prodigy_ml_01

A simple linear regression model for predicting price of houses based on their attribtues

linear-regression machine-learning skit-learn

Last synced: 19 Aug 2025

https://github.com/samuelbarbosadev/casting

A Solução Casting é uma empresa que presta serviços para outras empresas, e hoje a predição do faturamento para os clientes é realizada de forma manual e simplificada, mas estão em busca de automatizar para gerar mais valor aos clientes, reduzir custos e otimizar o tempo da equipe.

data-analysis model python skit-learn time-series

Last synced: 19 Aug 2025

https://github.com/tadiusfrank2001/reccomendation_system_datamining_project

Implementing a movie recommendation system that utilizes both wide and deep learning

data-science machine-learning numpy-library skit-learn tensorflow

Last synced: 24 Aug 2025

https://github.com/ragul-rofi/heartdiseaseml

Heart Disease Prediction using machine learning to analyze patient health indicators.

machine-learning prediction python skit-learn sklearn

Last synced: 31 Aug 2025

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 19 Oct 2025

https://github.com/abhay-sinha-0/carpricepredictionproject

A machine learning project that predicts the selling price of a car based on its features such as year, mileage, fuel type, transmission, and more. This model can assist individuals and dealerships in estimating fair market prices for used cars.

artificial-intelligence data-analysis data-science data-visualization exploratory-data-analysis machine-learning-algorithms matplotlib-pyplot mysql-database numpy-library pandas-library python skit-learn sklearn-library

Last synced: 15 May 2025

https://github.com/oleksiilatypov/titanic_ml

Titanic Survival Prediction using ML and Flask Deployment.

data-science docker flask machine-learning numpy pandas skit-learn

Last synced: 27 Dec 2025

https://github.com/momo790-m/startup-profit-prediction

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn

Last synced: 19 Nov 2025

https://github.com/jimmymugendi/british-airways-virtual-internship-task2

This GitHub repository for the British Airways project contains code and resources related to analyzing customer booking behavior with British Airways. It includes data preprocessing, exploratory data analysis, model training using the XGBoost classifier, and evaluation of the model's performance.

machine-learning pandas performance-metrics random-forest-classifier skit-learn xgboost-classifier

Last synced: 06 Mar 2025

https://github.com/ayan6943/mileage-prediction-ml-project

Developed a linear regression model to predict vehicle fuel efficiency (miles per gallon, mpg) based on features such as engine displacement, horsepower, and weight.

machile-learning pandas-library seaborn skit-learn

Last synced: 08 Apr 2025

https://github.com/sorna-fast/weather-forecasting-with-machine-learning

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

jupyter-notebook python regression skit-learn

Last synced: 24 Mar 2025

https://github.com/samuelbarbosadev/recommendation_algorithm

O Steam é a plataforma de jogos para PC mais popular do mundo, com mais de 6.000 jogos e uma comunidade de milhões de jogadores ...

api fastapi jupyter-notebook machine-learning pipeline python recomendation-algorithm skit-learn

Last synced: 04 Sep 2025

https://github.com/samuelbarbosadev/bitcoin_price_prediction

Considere o preço diário do Bitcoin disponível na coluna “PriceUSD” da tabela “https://coinmetrics.io/newdata/btc.csv". Faça um algoritmo (python, R , Excel...) bem simples (média movel, regressão linear,etc..) para prever o preço do dia seguinte. Compartilhe o código, brevemente explique o seu funcionamento e apresente alguns resultados.

churn-prediction machine-learning pandas python skit-learn

Last synced: 05 Jul 2025

https://github.com/0x03c1/classroom

O repositório reúne os materiais utilizados em disciplinas que ministrei em diferentes instituições de ensino superior.

ai cloud grafana nodejs observability python security skit-learn sql

Last synced: 06 Oct 2025

https://github.com/eljandoubi/predict-bike-sharing-demand-with-autogluon

In this project, our goal is to leverage Machine Learning Engineering techniques to participate in a Kaggle competition, utilizing the AutoGluon library.

autogluon catboost fastai kaggle-competition lightgbm sagemaker skit-learn torch xgboost

Last synced: 18 Mar 2025

https://github.com/raigosa720/deteccion-fraude-tarjeta-credito

Proyecto completo de detección de fraude con KNIME y Python, optimizando un modelo XGBoost.

data-science fraud-detection jupyter-notebook knime knime-analytics-platform machine-learning portfolio-project python skit-learn xgboost

Last synced: 10 Oct 2025

https://github.com/kalash9630/crop-advisor

I've developed a crop prediction model using the Random Forest Classifier machine learning algorithm, integrating Soil Metrics and Weather Data to recommend optimal crops. The primary objective is to improve farmers' yields, enhance financial stability, and promote soil health, ultimately resulting in increased profitability.

machine-learning-algorithms pandas-library skit-learn

Last synced: 30 Apr 2025

https://github.com/ljadhav25/support-vector-machine-data-science-

Support Vector Machines (SVM) are supervised learning models used for classification and regression analysis. They are particularly effective in high-dimensional spaces and situations where the number of dimensions exceeds the number of samples. SVMs are also memory efficient as they use a subset of training points called support vectors.

matplotlib pandas python skit-learn svc-model svm-model

Last synced: 29 Aug 2025

https://github.com/tadiusfrank2001/sentiment_analyst_machine_learning_project

Design a Decision-Tree Classifer and a Logistical Regression Classifier and compare their performance in Sentiment Analysis on Twitter Tweet data

api data-science decision-trees logistic-regression machine-learning machine-learning-algorithms natural-language-processing sentiment-analysis skit-learn tensorflow

Last synced: 22 Feb 2025

https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization

Last synced: 02 Mar 2025

https://github.com/abdelrahman-amen/lennet-5

LeNet-5 Image Classification project demonstrates the power of the LeNet convolutional neural network for character and digit recognition in grayscale images.

deep-learning keras lenet-5 python seaborn skit-learn tensorflow

Last synced: 19 Jun 2025

https://github.com/mdaltamashalam/uber-fare-prediction-models

Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.

catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm

Last synced: 20 Jun 2025

https://github.com/samuelbarbosadev/churn_prediction_model

criar um modelo de classificação capaz de prever se um usuário tem mais chance de cancelar a sua assinatura na plataforma ou não.

churn-prediction machine-learning pandas python skit-learn

Last synced: 16 Jul 2025

https://github.com/abdelrahman-amen/resnet50-from_scratch_and_built_in

ResNet-50, with 50 layers, excels in image classification by addressing the vanishing gradient problem. Skip connections facilitate seamless information flow, empowering the model for intricate feature learning. Its unique architecture makes ResNet-50 a robust choice for complex pattern recognition.

image-processing keras python resnet-50 seaborn skit-learn tensorflow

Last synced: 05 Apr 2025

https://github.com/abdelrahman-amen/vgg16-from-scratch-and-built_in

This project implements the powerful VGG-16 convolutional neural network for image classification, showcasing its efficiency with 3x3 filters, same padding, stride of 1, and 2x2 max-pooling for superior pattern recognition in diverse images.

image-processing keras python seaborn skit-learn tensorflow vgg16

Last synced: 05 Apr 2025

https://github.com/abdelrahman-amen/applying-different-unsupervised-learning-techniques

Applying various clustering techniques to the dataset, and my primary goal is to identify and choose the most effective method that best captures the underlying patterns in the data.

agglomerative-clustering dbscan-clustering entropy-based-fuzzy fuzzy-cmeans-clustering machine-learning python skit-learn unsupervised-learning

Last synced: 05 Apr 2025

https://github.com/abdelrahman-amen/inception-network-from-scratch-and-built_in

Explore the Inception Network, a powerful deep learning architecture designed for image classification. Uncover the efficiency of 1x1 convolutions, strategically used to reduce computational costs and capture intricate features at different scales, revolutionizing the way neural networks process information.

cv2 imagedatagenerator imagepr keras python skit-learn tensorflow

Last synced: 05 Apr 2025