Logistic Regression - Predicting Basketball Wins

[@hcgaron]

The fact that you can so clearly explain these concepts at the SPEED with which you speak, and still communicate the ideas with MASTERY and have us all clearly understand and internalize your explanations is amazing. Great work!

[@tryharder3129]

I watched all of your videos. These are the best. You should be more famous.

[@simrangrewal9680]

Yes

[@dataman6744]

Best technical explanation of logistic regression ever 💥

[@martafajlhauer8877]

I agree with most opinion here :-) I know that most of us are pretty solid on maths already but I am glad that you do understand that we don't have a time on recap 😀 and speed us up on the good track, no bullshit. Well done!

[@peacem351]

Watched several videos in the series. LEGEND.

[@austinburcham4260]

Extremely clear. I NEED examples and intuition to understand a concept. That is exactly what you've done to introduce this topic. THANK YOU.

[@ritvikmath]

Excellent!

[@loveena419]

Crystal clear - Nowhere have I seen such clarity! Hats off to RitvikMath - a hidden gem! Please continue to add more videos for the DS community!

[@bm810938]

These videos are the best among all I have seen. Thanks. You finally helped me fully understand the concept :).

[@srivarunneelakantan2995]

You are the clearest among all the people out there teaching this. They take many things for granted that you dont. Thank you :)

[@rohitnath5545]

i have been reading articles since morning to understand logistic regression. this is gold. i feel its much better if you keep explaining on the paper instead of the board. too much to ask but I can ask the God whateva i want

[@datascientist9289]

Your explanation is awesome and crystal clear; one thing to point out though is that L(beta0, beta1) is called the (not Maximum) Likelihood Estimator; after finding the argmax values of it, it turns into MLE.

[@mohammadabbasi8968]

I'm in love with the way you explain things. Thank you so much!

[@ritvikmath]

You're very welcome!

[@ameliemedem1918]

Brilliant !! The best practical explanation I've seen on the logistic regression !!

[@ritvikmath]

thanks!

[@deepakfialok]

One of the best explanation without the use of any fancy technology, became fan from this one video only (was learning from Data Camp classes by could not understand few things, you made it super clear.

[@mjt_00]

Just found this channel. HE IS MY HERO

[@deeps-n5y]

This channel is underrated!

[@ezragarcia6910]

Finally I got the concept !!! Thanks

[@krystianprogress4521]

Unbelievable how well you explain, I'm glad I discovered your channel!

[@ethanzhu4096]

Your video is brief and great, very easy to understand. Big thanks to you!

[@shivu.sonwane4429]

I like the way you teach.

[@karens7577]

amazing lectures! very clear and reasonably theoretical/deep! I wish you had made more videos on statistical modeling ...

[@lucmarrouche71]

Simply amazing, keep the good work. I subscribed

[@vatsaakhil]

Last time I was here you had like 2k subscribers! So happy to see you get so many subscribers now and we have more regular content now wow

[@prvizpirizaditweb2324]

you are a a legend

[@cleisonarmandomanriqueagui9176]

Next video please . how to compute MLE ? very well explained

[@oliviazhao5755]

Best explained videos ever!! Really helpful! Thank you so much.

[@hellmutmatheus2626]

Came here to find a hacking for betting and ended up learning statistics. Thx bro you're the best. ;)

[@dr.z.w.1869]

Incredible

[@rajitnair7865]

One of the best videos I have ever watched

[@ankitbajaj647]

Best explanation of Logit Regression..Thanks

[@amerjod3122]

thank you, your explanation is really really helpful and clear.

[@Ianwong33]

Thank you so much! Your explanation is very clear

[@jamebozo]

Best explained videos! Thank you so much.

[@guidanceandgladtidings]

Thanks so much. Please can you do something on Elastic net?

[@stephenking1945]

The right hand side if the equation is B0+B1h. Why the assumption is this, rather than B0+B1h+B2h or anything like that? Also there is an assumption that there is a correlation between the number of hours practice and the result of the game. Would Logistic Regression still work when there are no correlation between the two variables? Thank you.

[@MDBDAC]

This inspires my channel to run some stats model on basketball data

[@ritvikmath]

go for it! would love to see

[@shraddhakulal3273]

Thank you! It was very helpful

[@ibrahimelkhalil479]

well explained thank you , i want to know , why did you choose the linear model b0+b1h ?

[@jagadeeshakanihal]

amazing!!, Thanks a Lot

[@arundasari773]

I am learning Data science.I have a doubt in logistic regression. can you explain How to calculate intercept and coefficient values.

[@MegaAntimason]

The coefficient values are calculated using maximum likelihood estimation