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CS:GO Round Winner Classification with ANN by Sahil Chawla is a document available to read on EtoBox.

What is CS:GO Round Winner Classification with ANN about?

This project aims to classify the winner of rounds in the game Counter-Strike: Global Offensive (CS: GO) using an artificial neural network (ANN) model in Microsoft Azure Machine Learning Studio. The steps include uploading and preprocessing the dataset, creating and training an ANN model, evaluating the model on both training and test data, and deploying the model as a web service. The key steps are normalizing and splitting the dataset, training the ANN model with hidden nodes and iterations, scoring the

Author

Sahil Chawla

Language

EN