Credit Card Fraud Detection (Classification) | Machine Learning | Python

⭐️ Content Description ⭐️
In this video, I have explained about credit card fraud detection analysis using python. This is one of the basic classification problem in machine learning.
Text-based Tutorial: www.hackersrealm.net/post/cre...
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Dataset link: www.kaggle.com/mlg-ulb/credit...
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🕒 Timeline
00:00 Introduction to Credit Card Fraud Detection
04:18 Import Modules and Load the Dataset
10:22 Exploratory Data Analysis
18:16 Correlation Matrix Analysis
21:13 Standard Scaling the Data
24:16 Model Training and Testing
32:10 Balancing the Classes using SMOTE
40:49 End
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[@nikhilkr5771]

Thank you

[@abdelhamidazanzal3501]

Thank you so much for the explanation!

[@HackersRealm]

Glad you liked it!!

[@UCHENNALUCYOKOYE]

can you share how you can use hyperparameter tuning to enhance the efficiency of the model?

[@shubhamchavan9438]

thank you very much,

[@HackersRealm]

Glad you liked it!!!

[@0x1h0b]

thanks you very much , very nice explanation .... liked and subscribed :-)

[@HackersRealm]

Glad you liked it!!!

[@praveen.m1056]

sir i have a doubt, how the model actually predict whether the transaction is fraudulent or not.can you please explain it

[@HoNey-kr8rl]

Can u pls let me know the features of dataset tat is v1 to v8 and those negative and positive values in the dataset pls

[@HackersRealm]

It's not inference features, the original data has been reduced to few columns. It may be the transaction details

[@MrChudhi]

Nice presentation. Just a question which metric is the best metric to detect the credit card fraud. I believe it should not be accuracy. So it should be precision. Am I correct.

[@HackersRealm]

for a balanced metric, you can use f1 score, it has both precision and recall

[@theheartist993]

thank you for the nice explanation, just wondering if there is any detective system(code) to verify if the credit card is fraud or not?

[@HackersRealm]

detective system means? this project tell whether a transaction is fraud or not, based on the past transactions!!!

[@kishorgiri5510]

@@HackersRealm past transactions were classified under consideration of what parameters? time? amount? multiple log ?

[@rohitrankhamb9759]

I got 96 % F1 score for XGBClassifier,because I can use sample commend for normal transaction for split the data.

[@dheerajrajput6709]

did u get job ? please tell me

[@tebogohappybasil7469]

What about Hyperparameter Tuning or under sampling to see more results?

[@HackersRealm]

We could do that on the extensive project but here I am just trying to teach the basics of the project.

[@ElevatedLiving_30]

Can you please tell me the conclusion of this project I'll be really greatful. I'm going to do this as a mini project for my college assignment and i have to write a conclusion for it, so can you please help me out

[@HackersRealm]

we are getting good results for finding the credit card frauds using the past history

[@ElevatedLiving_30]

@@HackersRealm Thankyou so much!!

[@godaddy7981]

you did this project using which algorithm?

[@HackersRealm]

It's available in the github repo or at the end of the video

[@Pragna-]

how to check this model for our own credit card?? please reply, we have to finish our project asap

[@HackersRealm]

you may have to get all related features for real time testing.... so you may have to collect new data for that, as the data in the video is masked data to avoid real information leakage

[@rahulpurbey1362]

Sir how we can understand that transcation is fraud? Plz reply

[@HackersRealm]

The model can able to observe an unusual pattern in the spending history, then it may considered as a fraud

[@chandralasravanthi3530]

Bro I am getting error like Key error: 'class' What I have to do to solve this

[@HackersRealm]

where you're facing this?

[@SekharChandrapal]

Sir can you please show the deployment part

[@HackersRealm]

I have created a separate video for deploying the model in the playlist, you could use that for reference!!!

[@arijitpal8039]

Some error came in like no module named xgboost , imblearn, y_smote, x_smote in class Imbalancement

[@HackersRealm]

you have to install the modules using pip

[@arijitpal8039]

@@HackersRealm brother kindly elaborate it or do you have any videos of it?

[@HackersRealm]

@@arijitpal8039 run this command in the cell !pip install xgboost imblearn

[@arijitpal8039]

@@HackersRealm same cell or creating a new one

[@HackersRealm]

@@arijitpal8039 create a new one

[@editing_spotu]

Sir i want the webpage to this project... Pls you will create and upload it 😢

[@HackersRealm]

You can follow the deployment of ml model tutorial for the web page part. That might help you!!!

[@karthikan2663]

Were you able to webpage the project

[@karthikan2663]

Were you able to webpage it

[@HackersRealm]

@@karthikan2663 No, it's not deployed anywhere. If you want to deploy the model, you can check how to deploy ml model using flask in the playlist

[@akshayas7043]

How to upload the dataset in jupyter notebook??🤧

[@HackersRealm]

You can place the dataset in the same folder as the notebook file

[@akshayas7043]

Tq sir

[@akshayas7043]

I want a full clarification about this project sir.... How can i contact u?

[@HackersRealm]

@@akshayas7043 you can reach me via insta or linkedin...

[@akshayas7043]

Ok sir