Credit Card Fraud Detection using ML (Python) | Random Forest

This video is a ML tutorial. We will work on credit card fraud detection model using random forest. ---------------------- Dataset used - https://www.kaggle.com/datasets/nelgiriyewithana/credit-card-fraud-detection-dataset-2023/data ---------------------- 💌 Join my newsletter and get access to various freebies - https://stan.store/KarinaDataScientist 🧠 AI to help you analyse your data - https://powerdrill.ai/?via=karina-samsonova ---------------------- Timestamps: ---------------------- 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 ---------------------- https://youtu.be/p8arik6ZyyI https://youtu.be/-8stRxINNeY ---------------------- About me ---------------------- 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 ---------------------- Youtube: youtube comments are by far the best way to get a response from me! email for business inquiries only: [email protected] ---------------------- Social Media: ---------------------- TikTok: https://www.tiktok.com/@karinadatascientist Instagram: https://www.instagram.com/karinadatascientist/ Linkedin: https://www.linkedin.com/in/karina-samsonova/ #ml #datascience #pythonprogramming