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Sanskar
Keen Learner and Exp... • 1m
Day 12 of learning AI/ML as a beginner. Topic: TF-IDF practical. Yesterday I shared my theory notes and today I have done the practical of TF-IDF. For the practical I reused my spam classifier code and for TF-IDF I first imported it from the sklearn python library and then initialized it setting the max word to 100 then I converted it to an array. The I used numpy because array printing are configuration belongs to numpy library. I set edge item = 30 because I wanted to print the first and last 30 elements (usually numpy prints arrays as [1, 2, 3, ...., 98, 99,100] i.e. it hides the middle letters in ...). Then I set line width as 100000 so that the arrays are printed in a single line and is not wrapped (this also avoids confusion). Then in lambda function I used "%.3g" to make sure that there are normal numbers behind decimal (float) and it does not exceeds the three digits after that. I also got one step ahead and tried to use n grams in this and also printed a new array. Here's my code and its result.
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