This is daily routine for me to visit your channel and learn important concepts with great understanding. Thank You Nitish sir ❤❤🙌. CampusX - Best Place for all the ML/DL Enthusiast .
Awesome. I like your videos because you explain the crux of the concept. However, it would be even better if you could include the formal definition of the concepts on-screen. Nevertheless, your videos are 10 on 10 bro.
bias : the inability of the model to truly capture the relationship in the training data variance : it measures how much the predictions of a model vary for different training datasets. overfitting : training error low and test error high. underfitting : training error high
Hello sir, I have a doubt about this topic. If my test R2 is increasing and train r2 is decreasing does it mean that my model has a problem with underfitting and having high bias?
By Far The Most Awesome Lecture On Variance Trade-off...I'm Literally Stunned !!! 😍🤩
This is daily routine for me to visit your channel and learn important concepts with great understanding.
Thank You Nitish sir ❤❤🙌.
CampusX - Best Place for all the ML/DL Enthusiast .
The best explaination for Bias-Variance Trade off on TH-cam!! Thanks a lot
this playlist is by far superier than any ML paid course available online
Then you should definitely check out my Data Science Mentorship Program ;)
What a explanation. When in interview I answered this I was right though but now I am feeling more confident , will never forget this.
Incredibly delivered the concept in very clear manner.
Loved it sir!!!
Great keep it up sir
You are a great ML guru! I highly apprecitate your time and effort towards the betterment of ML world!
you are truly a gem for us...cant thank enough ...keep going
Thanks for make Under-over fitting concepts make easier.
Great yrr
Best teacher
Best explaination I have found so far.. Thank u..
Awesome. I like your videos because you explain the crux of the concept. However, it would be even better if you could include the formal definition of the concepts on-screen. Nevertheless, your videos are 10 on 10 bro.
Feed back taken
8 minutes of gold
last few hrs i was stuglling with this topic now i got it
Really nice you have explained...Thank you!!...Can you also make conceptual vedios on mathematical modelling
bias : the inability of the model to truly capture the relationship in the training data
variance : it measures how much the predictions of a model vary for different training datasets.
overfitting : training error low and test error high.
underfitting : training error high
Amazing video 💞
Thanks Sir ji, Very helpful lecture.😀
Clearly Explained!
Thank you ♥️
Thank you sir
great
awesome
Is all things well @ ur end? b'se we didn't see you today. see you soon.
Super sir
Hello sir, I have a doubt about this topic. If my test R2 is increasing and train r2 is decreasing does it mean that my model has a problem with underfitting and having high bias?
Could you share the syllabus
if underfitting performs bad in both training and testing data then how come the variance is low ?
Yeah it come High variance i to have same doubt
Please use either English or Hindi as it is impossible to track what you are saying.