9. Project 4 Bank Customer Churn Prediction Using Machine Learning | Machine Learning Projects

[@anoopkumar2142]

This is by far one of the easiest explanations covering such complex models. Excellent approach and flow of analysis.

[@vimalcalicut]

Very informative and clear explanation of ML concepts. Thank you so much!!

[@karanpatil6097]

Very nice and easy way of teaching. Thankyou so much. Very helpful. Really appreciated.

[@hamdansiddiqui3294]

Simple, concise, deeply explained thumbs up to you. Appreciated!!!

[@DataThinkers]

Glad you liked it.Keep watching. Thanks.

[@manjusha7526]

Perfect and straight to point explanation Thank you for such a wonderful session 😊

[@manjusha7526]

Sir is there any video in which feature selection is performed on dataset?

[@diegofernandogonzalezlarro6192]

Thank you so much for this tutorial. It is very complete and extremely well explained.

[@DataThinkers]

Thanks for your comment. Glad you liked it. Keep watching

[@tohfasiddikabarbhuiya24]

Very informative, crisp and to the point!

[@DataThinkers]

Thanks for your comment. Glad you like this video. Keep watching. Thanks

[@naseemgharibi]

amazing work and explanation, thank you.

[@ashoksahu-uf5mf]

thank you for complete lesson

[@DataThinkers]

Glad you liked it

[@Yamini.JT2]

It's really helpful ☺️ and can u make a video on how to write GUI code?

[@DataThinkers]

GUI : Create GUI For Machine Learning Projects Using Tkinter: kzbin.info/aero/PL_1pt6K-CLoBZ_7GuHJKjMMFBO349WRVz

[@Yamini.JT2]

@@DataThinkers thank you

[@許文綾-r1z]

Awesome video, thankful

[@DataThinkers]

Thanks

[@michaelscott1899]

Loved it🤩

[@neil007sal]

This is Great, please keep Posting more videos frequently. Also please cover NLP and Deep learning project in coming days

[@DataThinkers]

Thanks for your comment. Glad you like this Video. Sure 👍

[@motishreepatel107]

You have explained it really well. Thank you for that. But for me any value i am giving, the prediction is always 1. where i might have gone wrong ?

[@DataThinkers]

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

[@kambamnagamunireddy6247]

Thanks for sharing

[@DataThinkers]

Thank for your comment.Glad you like this video.keep watching.thanks

[@ayushsachdeva4635]

people who are having error with exited image they just need to run astype('category') function with data[exited]

[@kkmotghare57]

Thanks for the awesome explaination. can you please provide the code notebook for practise?

[@DataThinkers]

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

[@kkmotghare57]

Thanks Sir@@DataThinkers

[@pratikshinde1662]

Informative..

[@DataThinkers]

Thanks for your comment. Glad you like this video. Thanks

[@tatalee9621]

Hi, your video is very informative and full of explanation. However, as I know that the rule of thumb is: never mess up with your test set. Always split into test and train sets BEFORE trying oversampling/undersampling techniques! Because oversampling before splitting the data can allow the exact same observations to be present in both the test and train sets. This can allow model to simply memorize specific data points and cause overfitting and poor generalization to the test data. Data leakage can cause you to create overly optimistic if not completely invalid predictive models. So what you think of that?

[@justme-yj6ck]

This comment really helped me Koz I was able to consider what you wrote there thank you

[@vishalvvnagar]

Thanks for sharing 👍🏻

[@DataThinkers]

Thanks for your comment.Glad you like this video.keep watching.thanks

[@skykhanncanoeboy]

Thanks for the great video!

[@DataThinkers]

Thanks for your comment. Glad you liked this video. Thanks

[@aayushgautam4324]

In encoding we just take Germany and Spain by nit taking france won't it effect the outcomes?

[@avinashrauniyar9997]

Thanks a lot

[@DataThinkers]

Thanks for your comment. Glad you like this video. Thanks

[@MR-gp4zp]

Thank you for such good explanation… can you tell me if we can visualise the predictions as a dashboard in tableau or power bi

[@hoangduongvu]

Hello, how about if we have a panel data of clients over time? And may be we want to see the impact of changing salary on the decision to stay or quit the bank? Can we do it, please?

[@arshad1781]

Thanks 👍

[@DataThinkers]

Thanks for your comment.Glad you like this video.keep watching.thanks

[@Vale246810]

THANK YOUUUUU :D

[@bhoomikagv]

Hi, Customer Churn Prediction using KNearest Neighbour Model and using machine learning both are same or not,

[@radyoalmikyel6881]

Hi just i want to know thet we use also x_train resampled in all ML algortithm??

[@muditgupta8813]

guys please answer a query, while putting on new data do we have to scale that new set of data too in deployment of streamlit??

[@samirkumishra4811]

Brooo... Plzzz... Make a video on fake news detection... Plzz

[@DataThinkers]

Sure👍

[@samirkumishra4811]

Using NLP make a video on fake news detection... Plzzz... Broo

[@DataThinkers]

Sure i will upload shortly.

[@itsme8487]

Sir please share the code for the implementation of cat boost algorithm in this data set......

[@viplovechander75]

If u have removed the customer ID then how are you identifying which customer is churning.

[@DataThinkers]

First of thanks for your comment. Dear, we have trained our model on available features just for "future predictions."(just for training our model) by removing customer ID, which is not affecting our target variable. Suppose a new customer comes. Because we know who he is. We have to input different features to our model for prediction by removing customer ID. We can check the churn rate for this particular customer. hope I'm clear. Let me know if you still have some queries.

[@ashwinikumar6461]

Dear Priyang, Thank you for your precious teaching . Please do provide us a video on python Tkinter for Gui. Also while working out the same i ma getting a comment as "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:432: User Warning: X has feature names, but Logistic Regression was fitted without feature names warnings. warn( ", . Iam getting the same type of comment in all the models, Because of this iam getting differences all the predictions, Request your earnest support.. Thanks in advance.. God bless.

[@DataThinkers]

Thanks, use and run my code once, also compare it with your code:github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code, sure i will upload on video on tkinter.

[@ashwinikumar6461]

@@DataThinkers Thank you so much and appreciating your quick response. When i was working with your codes everything was working quite right and smooth. Thanks with gratitude for your timely support. God bless....

[@dr.mahaboobbasha1074]

Sir, you have done standard scaler for x_train and x_test but not for y_train and y_test. For dependent variables standard scaler not required sir ?

[@DataThinkers]

It's already scaled because it contains only two values 0 and 1.

[@dr.mahaboobbasha1074]

Sir..if dependent variable is numeric in nature in that case do we need to scale the y_train and y_test

[@vivekgoyale3501]

can you pls share the problem statement & conclusion

[@DataThinkers]

Please elaborate your question. Keep watching. Thanks

[@ReelzAndLaughs]

Bro i executed everything...i got the gui interface also.. but while pressing the predict button there is no output showing

[@DataThinkers]

Check my code here : github.com/DataThinkers/Machine-Learning-Projects-Code/blob/main/Predicting%20Employee%20Churn%20Using%20Machine%20Learning%20(1).ipynb

[@nikhil_somani]

Dataset not available on given link with the name mentioned. Can you please check that once?

[@DataThinkers]

First of all thanks for your comment. now dateset is available on my GitHub repo.thanks

[@sonalikoli384]

very nice video please provide the source code.

[@DataThinkers]

thanks, Link : github.com/PRIYANG-BHATT/Machine-Learning-Projects-Code

[@artbloom08]

getting attribute error in the last line of prediction error--"list object has on attribute called predict "

[@DataThinkers]

Send your code in Email.

[@TajeswiniHs]

At last wt does tat 1 and 0 indicates in tat output

[@DataThinkers]

Check 2:06

[@TajeswiniHs]

Tqsm❤​@@DataThinkers

[@hrishikeshjakanur9702]

Can you provide the GUI code

[@DataThinkers]

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

[@amishakhetani6712]

Dataset not available on given link. can you please give link in description??

[@DataThinkers]

Dataset is available on my Github repo. github.com/PRIYANG-BHATT/Datasets-KZbin-Pandas/tree/main/DS Dateset name is Churn_modelling.csv

[@amishakhetani6712]

@@DataThinkers, I opened this link. but no any ipynb, CSV, Excel file is available. when i click on Churn_Modelling.csv looks like code. Please check once. this project helps me in my interview. please help me🙏

[@DataThinkers]

Churn_Modelling.csv is a dataset file (in CSV file format) just download it and use it Here is the CSV file (Dataset) : github.com/PRIYANG-BHATT/Datasets-KZbin-Pandas/blob/main/DS/Churn_Modelling.csv Here is the code file : github.com/PRIYANG-BHATT/KZbin_Machine_Learning_Projects_code/blob/main/Project%20-%204%20Bank%20Customers%20Churn%20Prediction.ipynb Best of Luck

[@attaulhaq459]

shows the erro rthat string could not convert into float plz any body solve the problem

[@DataThinkers]

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

[@dr.mahaboobbasha1074]

Sir.. accuracy_score first time it is 0.808 and second time it is 0.79 why sir?

[@DataThinkers]

Set random_state to particular value. Check code here: github.com/DataThinkers/Machine-Learning-Projects-Code

[@25fpslagger81]

Bhai iska IPYNB file kaha hai?

[@DataThinkers]

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

[@user-rc2uc1kv6w]

can you share its code please

[@DataThinkers]

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

[@DARSHAN.S.D21BDS010]

sir how can i get GUI code

[@DataThinkers]

From here:github.com/DataThinkers/Machine-Learning-Projects-Code

[@DARSHAN.S.D21BDS010]

thank you very much sir

[@shashidesai3372]

🔥🔥🔥🔥🫡