Hi sir i need your help If we are using three models SVM,RF,DT for classification seperatly and Input dataset is same Can we do feature selection with wrapper method with single ML algorithm and feed selected features to other multiple algorithms for classification?
This is jupyter notebook Now a days if you use cloud based model training you will use the notebook type IDE but if you use your local system for complete model creation I means complete end to end ML pipeline then you have to use the modular coding in any language it could be python or Java or any , then you will use pycharm or VS code IDE
Hello sir, Can I get ur email Id sir. I wil be highly obliged if I will be guided by u in this field of data science. I will he waiting for your reply. Thank you
Very nicely explained. Thank you for your efforts
Hi sir i need your help
If we are using three models SVM,RF,DT for classification seperatly and
Input dataset is same
Can we do feature selection with wrapper method with single ML algorithm and feed selected features to other multiple algorithms for classification?
Dear there is no any hard and fast rule in machine learning. Every things is possbile as per data and domain. You can use any combination.
@@AtulPatelds thank you sir i am grateful
Which tool are you using for python programming in this video?
This is jupyter notebook
Now a days if you use cloud based model training you will use the notebook type IDE but if you use your local system for complete model creation I means complete end to end ML pipeline then you have to use the modular coding in any language it could be python or Java or any , then you will use pycharm or VS code IDE
Hello sir,
Can I get ur email Id sir.
I wil be highly obliged if I will be guided by u in this field of data science.
I will he waiting for your reply.
Thank you
atulpatelds@gmail.com
@@AtulPatelds plz check your mail box