Advanced Machine & Deep Learning for SPAM classification
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Dive into advanced machine and deep learning techniques for SPAM classification. Learn to build models that detect and filter unwanted messages with high accuracy using Python and AI.
At a Glance
Learn to build the Machine & Deep Learning models at the junction of NLP and Network Security areas by the help of SMS Spam Collection dataset with the helping frameworks & libraries.
Learning Objectives
- Be able to quickly explore the SMS Spam Collection dataset and build the best models with the help of functional programming and layer-by-layer model description to solve SPAM classification task.
- Be able to show different calculated metrics of the built models.
- Be able to change values of some hyperparameters for an improving of model training process to achieve better results.
- Be able to visualize the data analysis results with various plot types.
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