A fantastic video that explains catboost so well! I wish I had seen it before the last tech interview...
@simonebenzi41894 ай бұрын
Thanks!! Would be very appreciated if you could do a video in which you implement CatBoost with Cross Validation in python!!
@omprakashverma65492 жыл бұрын
Hey, nice explanation on how catboost does categorical encoding during training which makes it robust to overfitting and also faster but there is another very important feature 'ordered boosting' of catboost which i think you could cover. I was reading the paper but couldn't grasp it properly. Anyways thanks for the video :)
@UnfoldDataScience2 жыл бұрын
Welcome OM 🙂
@mohitmittal26272 жыл бұрын
yes plz make video on python implementation of lightgbm and cateboost .. with time series implementation and hyper parameter implementation
@UnfoldDataScience2 жыл бұрын
Video is created Mohit. Please look on the channel for "xgboost vs catboost vs lightgbm"
@bijaynayak6473 Жыл бұрын
Hello Aman, thanks for the sharing the details I have quick question on data encoding for Nominal data, which one will select among list of the encoding techniques ? One-hot/dummy encoding. Label / Ordinal encoding. Target encoding. Frequency / count encoding. Binary encoding. Feature Hashing.
@exxyyf8274 Жыл бұрын
This is truly a fantastic explanation!
@anindyasil60992 жыл бұрын
Hi Aman, thanks for sharing the video. nice explanation. Helps a lot. One question on categorical var encoding, i understand the training data part (you made it easy!) but curious to know how it is done in test set. Is it mean/median of the numeric encoded values for each category of a category var in the training set? Thanks
@karthebans2482 жыл бұрын
Thanks for the New concept. Can we use this Catboost for Text Classification and Time Series. And please upload the Python code implementation for the Catboost.
@UnfoldDataScience2 жыл бұрын
Welcome. Yes we can use. Sure
@tnmyk_2 жыл бұрын
What do you mean by Data leakage and how does it affect the model performance if we take the average of all values from the dataset as you mentioned at 10:50
can we also expect practical implementation for the same..
@UnfoldDataScience2 жыл бұрын
It's there, search for catboost vs lightgbm vs xgboost
@radhakrishnanananthan15852 жыл бұрын
Nice explanation. Thanks Aman.
@UnfoldDataScience2 жыл бұрын
Welcome Radha.
@tanmaychakraborty54722 жыл бұрын
Please create a video of cat boost mathematics
@ankursharma1836 Жыл бұрын
Hi Aman, if encoding is different for every row how the category will be encoded at the time of prediction.
@tanyagupta63192 жыл бұрын
Can u please tell me what is purpose of using catboostregression ?
@dhamodharanr3461 Жыл бұрын
What writing you are using ?
@pareshdashore27722 жыл бұрын
Well explained
@UnfoldDataScience2 жыл бұрын
Thank you
@mohitmittal26272 жыл бұрын
can catboost and lightgbm algo used for time series forecasting plz tell me ?
@UnfoldDataScience2 жыл бұрын
Yes possible
@husnakhan76832 жыл бұрын
If my data consists of both categorical and numerical feature can i implement catboost directly . coz in the error it says that it has to be str or an int only
@UnfoldDataScience2 жыл бұрын
In the pipeline mention which ones are categorical columns. Check my implementation video, I hv done it. Video title "catboost vs xhboost vs lightgbm"
@mysteriousocean61982 жыл бұрын
if threre is no cator. variable then we dont need to do pooling ??