Ecosyste.ms: Awesome

https://github.com/steveee27/customer-churn-prediction

A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.

customer-churn-prediction machine-learning modeldeployment streamlit xgboost-classifier

Last synced: 20 Nov 2024

https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment

aws aws-cloudformation aws-ec2 decisiontreeregressor deployment lassoregression linearregression modeldeployment python3 randomforest regression regression-models ridgeregression streamlit streamlit-webapp xgboost

Last synced: 01 Dec 2024

https://github.com/goldsharon/sentimaster

Sentimaster is an AI-powered web tool that analyzes restaurant reviews. It uses a fine-tuned GPT-2 model to classify sentiment, giving businesses real-time insights for better service and decision-making.

ai aws customerfeedback deeplearning flask gpt2 machinelearning modeldeployment naturallanguageprocessing nlp pytorch sentimentanalysis webapplication

Last synced: 09 Dec 2024

https://github.com/praveendecode/retail-revenue-forecasting

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

azure collection data datapreprocessing docker exploratory-data-analysis feature-engineering featureimportance model modelbuilding modeldeployment modelselction python report tableau

Last synced: 17 Dec 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: 18 Dec 2024