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Classifiying UCI Spam Classifier Dataset - Spot checking algorithms with SKLearn.

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Spam-Classifier

Classifying the famous Spam / Ham SMS Data from UCI Machine Learning Dataset with SKLearn.

Data : https://archive.ics.uci.edu/ml/datasets/sms+spam+collection

Used SKLearn
Spot Checking Algos
Heatmap for Naive Bayes
Acheived 98.8% Accuracy

Future Works

Adding Keras/TF Layers to do the classification.