Data Mining Fundamentals

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That was an outstanding explanation. I understand more from this video than all the others I have watched put together. Well done!

billford
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What a simple and understandable explanation for a deep topic. Thank you so much !!! You are a great instructor

mapa
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Thank you for the clear explanation...you are the best.

taniakuruwitage
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thank u so much sir great explanation sir

pavankallem
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Most of the best tutorials look similar to this video. hehe. I can just feel that it's a good video before even starting.

itv
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Can you keep making videos, please! Why have you stopped?!
You are so great lecturer.

sarahsamarrae
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This is so clear explained that it is almost unreal hahahaha thank you very much for such valuable video

manuelherrerahipnotista
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Can you please tell me what is the best data mining process methodology (CRISP-DM, SEMMA, KDD) that can be used in heart attack prediction and why?

nowxdi
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6:59 Sir, In classification, the input label / class is first changed to numeric before being added to the model?

adiflorense
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I think that's all too Sporadically laid out.

plywoodcanadian
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4:05 Sir, why are gender and student attributes not used in making predictions?

adiflorense
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I dont get it, so if they are 65 they automatically go to the credit rating bubble ? Why? why not the student bubble? BEcause they more than likely wont be a student? So if theyre 35-65, theyre automatically going to buy a computer? Why is age on the top why not student or credit rating? None of this makes sense, not enough explanation., ...

aholmes