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 .
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
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.
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 playlist is by far superier than any ML paid course available online
Then you should definitely check out my Data Science Mentorship Program ;)
@@campusx-official😂😂
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 .
What a explanation. When in interview I answered this I was right though but now I am feeling more confident , will never forget this.
The best explaination for Bias-Variance Trade off on RUclips!! Thanks a lot
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
Incredibly delivered the concept in very clear manner.
Loved it sir!!!
Great keep it up sir
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
You are a great ML guru! I highly apprecitate your time and effort towards the betterment of ML world!
Thanks for make Under-over fitting concepts make easier.
Best explaination I have found so far.. Thank u..
Thank you for such a simple explanation 😊
Great yrr
Best teacher
Very Simple and Good explanation
Thanks Sir ji, Very helpful lecture.😀
8 minutes of gold
you are underrated sir
last few hrs i was stuglling with this topic now i got it
you are truly a gem for us...cant thank enough ...keep going
Really nice you have explained...Thank you!!...Can you also make conceptual vedios on mathematical modelling
Clearly Explained!
Amazing video 💞
thank you Sir, completed @10:18PM on 14th September 2024.
Thank you so much sir 🙏🙏🙏
Thank you ♥️
great
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?
Is all things well @ ur end? b'se we didn't see you today. see you soon.
Thankyou Boss
awesome
Thank you sir
wow wow wow , krishnaik pe time wsate kr dia
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
✅
Could you share the syllabus
Please use either English or Hindi as it is impossible to track what you are saying.
Incredibly delivered the concept in very clear manner.
Loved it sir!!!
Great keep it up sir