12. Project 7 Wine Quality Prediction Using Machine Learning | Machine Learning Projects

[@neil007sal]

This is really awesome, masterpiece!! Request you to please post more and more videos on weekly basis. Thank you ❤️

[@DataThinkers]

Thanks for your comment. Glad you like this video. Sure i will try.

[@umeshtiwari800]

U explain ed in very good way.

[@DataThinkers]

Thanks. Keep watching.

[@johnadoga9765]

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

[@DataThinkers]

Sure, i think i covered in the first project and also uploaded one playlist for building GUI.

[@shubhangikande2695]

Your videos are great..

[@DataThinkers]

Thanks for your comment. Keep watching

[@beingrishi6450]

Nice explanation

[@DataThinkers]

Thanks for your comment. Keep watching

[@ayushprajapati4102]

I got 1 null values in quality ph and total sulphur dioxide what to do next ?

[@jeniscupcake1368]

Thanks a lot.I'm learning a lot from your videos.Can you clarify the GUI part, though?plz

[@DataThinkers]

You can watch this video: kzbin.info/www/bejne/ennNmYZnmrynq9E

[@DataThinkers]

Here is the code: github.com/DataThinkers/Machine-Learning-Projects-Code

[@keeratkaur7012]

why was feature selection, feature extraction(PCA) done after splitting the dataset.Shouldn't it be done before splitting the data?

[@DataThinkers]

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.

[@keeratkaur7012]

Thank you!

[@abdelhamidazanzal3501]

Thanks a lot. Can you make a Deep Learning project?

[@DataThinkers]

Thanks for your comment. Yes sure

[@ashwinikumar6461]

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.

[@DataThinkers]

Link:github.com/PRIYANG-BHATT

[@amansengar4196]

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]

check my code once: Github Link for ML Projects : github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code

[@adnanemehdaoui5487]

how can make a model predict the value of quality of wine??

[@DataThinkers]

Please check code here and let me know:github.com/DataThinkers/Machine-Learning-Projects-Code

[@عدنانمهداوي-ن5ث]

@@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.???

[@statuspool7134]

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]

You have to install :pypi.org/project/imbalanced-learn/

[@statuspool7134]

@@DataThinkers i will get u after installing

[@statuspool7134]

@@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

[@arshad1781]

Thanks

[@DataThinkers]

Thanks for your comment. Keep watching

[@RachaYashaswini]

I am not getting the output in logistic regression

[@DataThinkers]

Check my code and let me know:github.com/DataThinkers/Machine-Learning-Projects-Code

[@jyothiprabha8114]

For binarization i got only 0 i dont know why pls explain

[@DataThinkers]

Check my code:github.com/DataThinkers/Machine-Learning-Projects-Code

[@0598-SaiKiranMuthyala]

iam getting error test=pca.transform(st.transform(new_data)) here

[@DataThinkers]

Try to run my code once:github.com/DataThinkers/Machine-Learning-Projects-Code

[@alok_ranjan5163]

how i get GUI code from this video

[@DataThinkers]

Link :github.com/DataThinkers/Machine-Learning-Projects-Code

[@automativedev5708]

very usefull!! please next time atleast take some time to show the gui dont explain it just show !

[@DataThinkers]

Thanks for your comment. Sure👍

[@shaikroshini3000]

Sir i done same like this but i getting error at feature scaling sir

[@DataThinkers]

Check my code and let me know :github.com/DataThinkers/Machine-Learning-Projects-Code

[@shaikroshini3000]

Sir i already checked and i copied and pasted this but i got error at feature scaling

[@shaikroshini3000]

Sir i you don't mind please send your number then I will clarify my doubt completely

[@shaikroshini3000]

It showing value error sir

[@sampathkumar9593]

I will do this project

[@sampathkumar9593]

I want this project completely

[@DataThinkers]

github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code

[@ikechukwuhenryiheanacho9053]

This is awesome. Please sir can I have your official email. Would like to discuss with you. Thanks

[@DataThinkers]

[e-mail]