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Verified signatureElectricity Cost Prediction API Project Overview -> This Space hosts a Machine Learning API for predicting electricity costs, built with FastAPI and deployed using Docker. It provides a robust API endpoint to estimate the total electricity cost based on various facility and operational parameters. It's designed to help understand and predict energy expenditure by leveraging a trained machine learning model. Key Features-> Predictive API : Offers a `/predict` endpoint to receive input data and return an estimated electricity cost Data Preprocessing : Handles data cleaning (imputation), categorical encoding (Label Encoding for `structure_type`), and numerical scaling (StandardScaler) automatically before prediction Dockerized Deployment : Packaged as a Docker container for consistent and reproducible deployment across different environments FastAPI Framework : Built on FastAPI, providing high performance, easy-to-use API development, and automatic interactive documentation (Swagger U…6abfac2 -
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