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Smart Home Member Prediction Report by Aditya Vikram Verma is a document available to read on EtoBox.

This document summarizes a report on predicting the number of family members present in two houses (House A and House B) at a given time and date. It describes the dataset used, data preprocessing steps, visualizations of relations between variables, building prediction models using K-Means clustering and KNN algorithms, and contributions of group members to the project. The KNN model achieved 90.47% accuracy for House A and 97.61% accuracy for House B.

Author
Aditya Vikram Verma
Language
EN