Projects
Book-recommendation
The main objective is to create a book recommendation system for users. based on Model Based Collaborative Filtering , Memory Based Collaborative Filtering , content based filtering, recommendation for new user with popularity
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Appliance-Energy-Prediction
Goal of project is Predicting energy consumption of home appliances . Did eda, feature selection data cleaning, feature engineering, implemented multiple regression algorithms did hyper parameter tuning and cross validation and model explainability.
View ProjectHEALTH-INSURANCE-CROSS-SELL-PREDICTION
Goal of the project is predict weather customers is interested in vehicle insurance or not. Did eda, feature selection, feature engineering, data cleaning, imbalance techniques,implemented multiple classification models did hyper parameter tuning and cross validation and suggestion for the business improvement.
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Model deployment using docker and flask
deploy machine learning model using docker and flask. with flask created web api and using docker created image and container for model
Eda-on-telecom-chrun
Complete eda on Telecom churn data set and analysis what are factors affecting customer churn and come up with business strategy
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