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Data Science Flow Diagram Overview by yesha is a document available to read on EtoBox.

What is Data Science Flow Diagram Overview about?

This flow diagram outlines the key steps in a typical data science project: data is collected and pre-processed using techniques like cleaning, normalization, and feature engineering before being fed into machine learning algorithms for supervised or unsupervised learning, with popular algorithms including convolutional neural networks, neural networks, and recurrent neural networks. Deep learning, a subset of machine learning, utilizes multiple layers of algorithms to analyze large amounts of data.

Author

yesha

Language

EN