Code With Me : Building a Spam Filter !

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Ever wonder how a spam filter works? Let's code one together!

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Have been consistently watching your videos for a while now. It's amazing how clear, concise and succinctly you manage to explain everything.

Just a suggestion, it'd be massively helpful if you could link/mention relevant books pertaining to topics in the video description. In the age of SEO laden blog posts, filtering out noise amidst Google searches is a pain.

tamojitmaiti
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Thanks for your exceptionally simple explanation 👍

drsandeepvm
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In my experience, using word embedding (fasttext is good for the character ngrams) + gradient boosting is far better than naive bayes.

kdhlkjhdlk
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Could you make a video about stock predictions with RNN Lstm

YohaneesHutagalung
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LOL I think either your dataset or something went wrong in most situation Naive Bayes always has around 93% accuracy
even u do the following technique lemmize steeming remove stopword N-Grams
but anyway this video give us a concept of how it works with python

ccuuttww
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I think you've made a mistake in: test_spam_df = The testing set should have been 30% not 70% of the data. That's perhaps why the validation result was so good.

jessicatriplev
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Bypass the model by repeating words that are biased towards the non-spam, multiple times.

GeyzsonKristoffer