Best lectures for Data science❤‍🔥❤‍🔥

The hyperparameter c was a little confusing to understand. I feel it will be better to call it a multiplier by which we control how harshly we treat misclassifications, with c=0 meaning no penalty to the model for misclassifications and c= 《very high number》meaning very heavy penalty to model for any misclassification. Love your content btw👍

Sir, please make an end-to-end Machine Learning project till deployment in Hindi. It will be very helpful for us,

Sir bring more videos your content are awesome

Got clear idea every 😊👍

Making Machine Learning easy Thank You very much sir

Best Explanation......!!

Superb man !

great explanation

Sir SVM intuition video is very informative, please make a video for one class svm. Thank you in advance

Kindly create a video on Primal and Dual Problem in SVM

big fan sir

Krish, I love your videos very much You try to make things simpler But, you know there are so many deep level maths concepts under the hood and most of the times you are ignoring it. like finding the distance between two parallel marginal lines is done in a very confusing way. you write y = wtx+b sometimes, next time wtx+b = 0 where W and X are the coefficient and variable matrices(not explained) you write wtx1+b = 1 for a marginal line and next wtx2+b= -1, variable matrix changed from x1 to x2(not explained) but from a very common man's perspective, only the constant value gets changed in case of equation of two parallel straight lines You're teaching in a deep level, but please explain these things, you are showing shallow maths concepts.

can both marginal lines have different distance from the line of best fit or they should have the same difference?

Awesome ! :)

Love it

Why do we need C_i and not simply C? It must be independent of the datapoint under consideration, isn't it?

for the pt (-1,0) which lies below the line we will also get a positive value. How can we generalize that all points below line are negative?

So clear

Awesome yaar

Please suggest some good books for mathematics of the data science

2:18 is this really what we do in Logistic Regression?

👌

Tyyyyyy❤❤❤❤❤

Your end part explaination was not at all good, suddenly from maximaizin the distance you swtiched to minimizing though it is fine that we can write it like that too,, but the reasoning is lacking, too many vaguenpoints, i have n number of questions…

sir aaj mera job laga hai.... as a trainee analytics using Quickbase software..... sir starting me 11k mil raha hai... my question is ye good hai data analytics and data science me jane ke liye??

First half was ok but next half kuch samaj nahi aya

For the line at 14:55 everything is incorrect.You have reversed the signs.

how u create equation 3x+2y+4 ?

Bhaiya power bi ka resource upload kijiye kha se kre or konse topic krne he or kitne krna he or sql kitna krna he plzzz 🙌

Bhai first video jisme kuch samajh nahi aaya...💀💀

Bhai second half of the video to bohot bekar hai