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!
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!
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.
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
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.
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.