Madam Late aga Vandhalum Latest. Yes.. I mean your Channel. Your Videos are with Latest Technology and Topics Latest Methods of Teaching And Practical Example. Easy to Understand. Video Presentation also ultimate. Will Help Many. Best Wishes
Best explanation about feature engineering in Tamil! Before I saw this video, I was confused about the concepts of oversampling, undersampling, and SMOTE. This video provided clear knowledge about these concepts. Please keep posting more of this kind of cool stuff! keep rocking mam
But Feature Engineering is about selection of features which influence the prediciton of ML model or creation of new feature out of existing features to get better result.Isn't it?
@@Bairavi_Vlogs yes it is partly correct what you are mentioning is called 'feature selection' the next stage after these 5 techniques. This is the foundation like fixing the data in hand, next stage is selection will cover that in upcoming videos.
I am using streamlit framework as UI for the developed model.User can give the input and get the result.what are other frameworks used in industry?Other than Django and Flask.Is it mandatory to present model in any one of these frameworks?
@Bairavi_Vlogs yes it is necessary because the endusers, who will actually be using the model might not be a python person, so inorder for everyone to access our model we need to expose the model with user friendly UI using streamlit, django, flask or any other framework u wish!
![Python in 10 videos: OOPS | Inheritance | Polymorphism | encapsulation | Abstraction [Ep-10] #python](http://i.ytimg.com/vi/R9Yia3aUooI/mqdefault.jpg)
![Python in 10 videos - Hands-on python Series | DataFrames | Pandas[Ep-7] | #learnpythonintamil](/img/n.gif)
Madam
Late aga Vandhalum Latest.
Yes.. I mean your Channel.
Your Videos are with Latest Technology and Topics
Latest Methods of Teaching
And Practical Example.
Easy to Understand.
Video Presentation also ultimate.
Will Help Many.
Best Wishes
@@vasutke1187 thank you 💜
Best explanation about feature engineering in Tamil! Before I saw this video, I was confused about the concepts of oversampling, undersampling, and SMOTE. This video provided clear knowledge about these concepts. Please keep posting more of this kind of cool stuff! keep rocking mam
@@gowthama757 thank you💜
But Feature Engineering is about selection of features which influence the prediciton of ML model or creation of new feature out of existing features to get better result.Isn't it?
@@Bairavi_Vlogs yes it is partly correct what you are mentioning is called 'feature selection' the next stage after these 5 techniques. This is the foundation like fixing the data in hand, next stage is selection will cover that in upcoming videos.
I am using streamlit framework as UI for the developed model.User can give the input and get the result.what are other frameworks used in industry?Other than Django and Flask.Is it mandatory to present model in any one of these frameworks?
@Bairavi_Vlogs yes it is necessary because the endusers, who will actually be using the model might not be a python person, so inorder for everyone to access our model we need to expose the model with user friendly UI using streamlit, django, flask or any other framework u wish!
Is Data cleaning is the part of Data Preproceeeing?
@@August1620 yes exactly