The process of structuring data in a database is known as normalisation. This includes generating tables and defining relationships between them according to rules aimed to secure data while also allowing the database to be more flexible by removing redundancy and inconsistent dependencies.
Normalization provides each variable equal weights/importance, ensuring that no single variable biases model performance in one direction simply because it is larger. Clustering algorithms, for example, utilise distance measurements to determine whether or not an observation belongs in a certain cluster.
It vastly improves model precision. Normalization provides each variable equal weights/importance, ensuring that no single variable biases model performance in one direction simply because it is larger.
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Muhammad Qasim
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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
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Aniket Kumar prasad
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Very helpful and easy to understand all the concepts, best teacher for learning ML.
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Rishu Shrivastav
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explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
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very nicely explained
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Vrushali Kandesar
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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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Mohd Mushraf
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Amazing Teaching
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Juboraj Juboraj
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Easy to understand & explain details.
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Joydeb
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Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
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Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
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