Sir Please complete 100 days of DL. I have seen all your 60 videos from that playlist and waiting for next video. I request you to please complete it.
Sir agar data bohat big ho aur missing values bhi almost har column mein ho tab KNN imputed bhi bohat time consuming hai. I talk about KNN imputed for missing values. Same KNN algorithm
When i used this algo in task code using standard scaler instead of minmax i got accuracy 0.79 so please see that and that for only 2 neighbors. The solution given has accuracy of 0.72
Sir please provide a mini playlist for data visualization using python. In which we can decide by looking at data, what kind of data visualization tool can be used in data analytics. Thankyou!
sir to overcome the problem of underfitting we can assign weights to the data points after sorting them according to the distance between the new datapoint and the already exisiting datapoints. So the point whose weight is greater will have the greater say. Hope this can solve the problem of underfitting if k=no of datapoints.
It's a humble request that sir please don't be like other youtubers those who are not focusing on teaching , they are focusing on business after increasing subscribers. 🙏🏻🙏🏻
I had one doubt....Shouldn't we apply scaling before doing the test train split.....because if we are applying it later....we are using the scaling used in the train for the test...?
Thanks for the awesome tutorial Need to know about one machine learning model problem I'm trying to resolve from last 2 months but not getting appropriately solution. problem :- we have one dataset where there are three columns start_date, end_date, isFree in formats dd-mm-yyyyThh:mm:ssZ, dd-mm-yyyyThh:mm:ssZ, Boolean. can anyone help me to build ml (probably ann) model on this dataset?
Sir please continue NLP playlist and cover Named Entity Recoganation and topic modelling please make videos
Sir, your teaching is amazing. I really appreciate your efforts, thank you!
It's really very well explained, Thank you very much.
I clearly understand this KNN algo Thank You so much 🥰🥰
Sir Please complete 100 days of DL. I have seen all your 60 videos from that playlist and waiting for next video. I request you to please complete it.
you teach very well in all your videos, good work
The way You teach Concept with Implementation , helped a lot in understanding.
Explanation was too good!
Thank you for this wonderful session 🙏😊
yes
u have notes
@@traveltime801 no but sir ki jaldi hi me video ayi h usme sir ne bataya h ki notes download kese kre
hi sir i really like your explanation and u gives really very good insight about a topic
Hello sir I need your help related multi class classification by using knn
❤ Well Explained.....! Please complete Time Series Analysis Playlist...
Sir agar data bohat big ho aur missing values bhi almost har column mein ho tab KNN imputed bhi bohat time consuming hai. I talk about KNN imputed for missing values. Same KNN algorithm
Really helpful videos. Highly recommended.
❤
yessss
sir why we can not transform the y_train and y_test?
Hi,
I am following your vedios and I would request you to make some vedio on interview preparation for experienced data scientist.
When i used this algo in task code using standard scaler instead of minmax i got accuracy 0.79 so please see that and that for only 2 neighbors. The solution given has accuracy of 0.72
So, I was supposed to learn this after Linear Regression?! And I am learning it now!....
Thankyou so much Sir
best explanation
Sir please complete the deep learning course mene all videos dekh li hai
Could you make a video on the computer vision road map? Thanks
Sir please provide a mini playlist for data visualization using python. In which we can decide by looking at data, what kind of data visualization tool can be used in data analytics. Thankyou!
Anyone has pdf to onenote hand written notes use in this lecture? ?
This is a good video
sir to overcome the problem of underfitting we can assign weights to the data points after sorting them according to the distance between the new datapoint and the already exisiting datapoints. So the point whose weight is greater will have the greater say. Hope this can solve the problem of underfitting if k=no of datapoints.
Thank you for the session sir. I understood every word said by you but distance k lie Euclidian he q lete hai why not Manhattan?
great video
best teacher ever
Really exited ❤
Why did you exit bro?
U r true legend .
If we have more prediction classes, then it is possible to use KNN
It's a humble request that sir please don't be like other youtubers those who are not focusing on teaching , they are focusing on business after increasing subscribers. 🙏🏻🙏🏻
When will the new session start for DS.
I had one doubt....Shouldn't we apply scaling before doing the test train split.....because if we are applying it later....we are using the scaling used in the train for the test...?
You want to apply Scale befor train test split
great explanation
Well explained
I am planning to take the mentorship program. Should I enroll it now or wait for the next batch?
Don't buy
waiting
Rs 10,000
Can we use KNN for Clustering ?
no
KNN is Supervised Learning while Clustering is Unsupervised
verygood teaching
Thanks for the awesome tutorial
Need to know about one machine learning model problem I'm trying to resolve from last 2 months but not getting appropriately solution.
problem :- we have one dataset where there are three columns start_date, end_date, isFree in formats dd-mm-yyyyThh:mm:ssZ, dd-mm-yyyyThh:mm:ssZ, Boolean.
can anyone help me to build ml (probably ann) model on this dataset?
watch this playlist from the start. specially 34 video. it'll definitely help you.
Please reply
❤
❤
bhaiya ekh dum sexy lecture h kya samjhaya h
Thank you so much sir🙏🙏🙏
Thank You Sir.
❤