Categorical encoding is an essential part of data compression, as it reduces the amount of data that needs to be stored and transmitted.
Categorical (or discrete) variables are used to classify observations into groups based on a shared characteristic. The feature can be nominal (for example, sex or eye colour) or ordinal (for example, age group), and the number of groups within a variable should be 20 or less.
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Ayush Bharti
4
how can i download the finaldata.csv?
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Jagannath Mahato
5
Hello Kushal Sir!
Your way of teaching is very good. I thank you from my heart ❤️ that you are providing such good content for free.
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Muhammad Qasim
5
Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
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Shafi Akhtar
5
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A
Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
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Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
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Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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