Feature selection and feature extraction (PCA) should be done after splitting the dataset into training and testing sets. This is because doing these operations before splitting the data can lead to data leakage, where information from the testing set is used to inform feature selection or extraction in the training set, leading to overfitting. By performing these operations after splitting the data, we ensure that the testing set remains completely independent and is not influenced by any information from the training set.
Thanks for this wonderful video, your explanation is superb... I've seen you make use of GUI in most of your videos, i'd love to see you do a video explain the GUI and how to code it, thank you
bro everything is okay but i was getting error in importing 'from imblearn.over_sampling import SMOTE' it showing no module name and while giving our own values to predict good qulaity or not it showing errror like X contain 11 values standard scaler requires 12 values... help me in sorting this...
@@DataThinkers first of all thanks its working properly after installing package but while giving external values to predict it is good quality or bad quality it asking x contain 11 values but standard scalar requires 12 values
Facing a problem at last where I perform the model.predict(test) returns an error. X has 1 features, but RandomForestClassifier is expecting 7 features as input.
@@DataThinkers no , i want just to know the value of quality. For example, i will gives features chemistry and it will gives me the value of quality 5,6,8.???
Loved this channel and appreciate for the effort taken. But would like to get the code of the very last part of tkinter GUI . Which i am unable to put up . even in the video also its not complete . request your help and support.
This is really awesome, masterpiece!!
Request you to please post more and more videos on weekly basis.
Thank you ❤️
Thanks for your comment. Glad you like this video. Sure i will try.
U explain ed in very good way.
Thanks. Keep watching.
why was feature selection, feature extraction(PCA) done after splitting the dataset.Shouldn't it be done before splitting the data?
Feature selection and feature extraction (PCA) should be done after splitting the dataset into training and testing sets. This is because doing these operations before splitting the data can lead to data leakage, where information from the testing set is used to inform feature selection or extraction in the training set, leading to overfitting. By performing these operations after splitting the data, we ensure that the testing set remains completely independent and is not influenced by any information from the training set.
Thank you!
Thanks for this wonderful video, your explanation is superb... I've seen you make use of GUI in most of your videos, i'd love to see you do a video explain the GUI and how to code it, thank you
Sure, i think i covered in the first project and also uploaded one playlist for building GUI.
I got 1 null values in quality ph and total sulphur dioxide what to do next ?
bro everything is okay but i was getting error in importing 'from imblearn.over_sampling import SMOTE' it showing no module name
and while giving our own values to predict good qulaity or not it showing errror like X contain 11 values standard scaler requires 12 values...
help me in sorting this...
You have to install :pypi.org/project/imbalanced-learn/
@@DataThinkers i will get u after installing
@@DataThinkers first of all thanks its working properly after installing package but while giving external values to predict it is good quality or bad quality it asking x contain 11 values but standard scalar requires 12 values
I am not getting the output in logistic regression
Check my code and let me know:github.com/DataThinkers/Machine-Learning-Projects-Code
Your videos are great..
Thanks for your comment. Keep watching
Nice explanation
Thanks for your comment. Keep watching
Facing a problem at last where I perform the model.predict(test) returns an error. X has 1 features, but RandomForestClassifier is expecting 7 features as input.
check my code once:
Github Link for ML Projects : github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code
how can make a model predict the value of quality of wine??
Please check code here and let me know:github.com/DataThinkers/Machine-Learning-Projects-Code
@@DataThinkers no , i want just to know the value of quality. For example, i will gives features chemistry and it will gives me the value of quality 5,6,8.???
For binarization i got only 0 i dont know why pls explain
Check my code:github.com/DataThinkers/Machine-Learning-Projects-Code
iam getting error test=pca.transform(st.transform(new_data)) here
Try to run my code once:github.com/DataThinkers/Machine-Learning-Projects-Code
Sir i done same like this but i getting error at feature scaling sir
Check my code and let me know :github.com/DataThinkers/Machine-Learning-Projects-Code
Sir i already checked and i copied and pasted this but i got error at feature scaling
Sir i you don't mind please send your number then I will clarify my doubt completely
It showing value error sir
how i get GUI code from this video
Link :github.com/DataThinkers/Machine-Learning-Projects-Code
Thanks a lot.I'm learning a lot from your videos.Can you clarify the GUI part, though?plz
You can watch this video: th-cam.com/video/DHjhS1eWtuo/w-d-xo.html
Here is the code: github.com/DataThinkers/Machine-Learning-Projects-Code
Loved this channel and appreciate for the effort taken. But would like to get the code of the very last part of tkinter GUI . Which i am unable to put up . even in the video also its not complete . request your help and support.
Link:github.com/PRIYANG-BHATT
Thanks a lot. Can you make a Deep Learning project?
Thanks for your comment. Yes sure
I will do this project
Thanks
Thanks for your comment. Keep watching
very usefull!! please next time atleast take some time to show the gui dont explain it just show !
Thanks for your comment. Sure👍
I want this project completely
github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code
This is awesome. Please sir can I have your official email. Would like to discuss with you.
Thanks
priyang.datathinkers@gmail.com