Sir What is data normalization and why is it important,what if we don’t normalize data
Data normalization
hey @naman_kr_301 ,
Data Normalization is technique to get the evenly distributed data in a form of distribution between a particular range . Lets takes an example you have a data between -1000 to 1000 , this range is really big.
So what we do is , we use a normalization technique ,say Min Max Scaling with a feature range of -1 to 1 , which means i will be converting my previous values in such a way that now i will be having new ( transformed values ) between -1 to 1.
Now why did i done this ? What was the need ?
So , the reason is it makes generalization of our algorithm more easier and better.
Taking the above example , if you were to fit a regression line on previous data then it wont be much generalized as while having sub bigger values the algorithm wouldn’t converge that easily.
But after normalizing , having the values being normalized so , the algorithm now converges more faster and more better.
I hope this would have helped you to understand this concept.
Thank You 
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