This video is a ML tutorial. We will work on credit card fraud detection model using random forest.

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Dataset used - https://www.kaggle.com/datasets/nelgiriyewithana/credit-card-fraud-detection-dataset-2023/data
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Timestamps:
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00:00 Intro
00:12 Libraries and modules
01:56 Check data
02:48 Selecting features and target variable
04:10 Split data into test and train
05:43 Feature scaling
07:20 Training the model
08:05 5 fold cross validation
09:25 Fitting the model
10:40 Predictions
11:20 Confusion matrix
12:40 Feature importance
13:40 Visualise feature importance
14:08 Heatmap
16:12 ROC AUC
17:49 Visualisation of ROC AUC

🎥 Other videos you might be interested in
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https://youtu.be/p8arik6ZyyI
https://youtu.be/-8stRxINNeY
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About me
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Hi, my name is Karina and I'm a finance person turned data person.

My mission is to transform intimidating tech into accessible tools. I aim to empower 1 million people to harness the power of AI, Python, SQL, and Excel to work smarter, not harder.

Contact
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Youtube: youtube comments are by far the best way to get a response from me!

email for business inquiries only: karinadatascientist@gmail.com
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#ml #datascience #pythonprogramming