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Machine Learning for Population Prediction by Uddhav Chalise is a document available to read on EtoBox.

The document discusses population projection and forecasting using machine learning techniques. It describes using supervised and unsupervised learning algorithms to predict population trends based on past data. The objectives are to develop a simple population prediction model and compare different algorithms for accuracy. Data is collected from census reports and preprocessed before applying decision tree, naive Bayes, and linear regression models to forecast population. The decision tree model achieved 6

Author

Uddhav Chalise

Language

EN