Fraud Detecting using Machine Learning

Fraud Detecting using Machine Learning


In this class you will get

✅ Job opportunities in the Finance Industry

✅ IT domain Finance portfolio with Python

✅ Exercise and practice in each session

✅ Sharing sessions with practitioners.

  • Description


    Sub Course :

    1. Introduction to Fraud Detection
    2. Data Pre-Processing: Reducing Memory Dataset; Merging Dataframes; Defining Variable; Data Cleaning; Data Transformation; Handling Imbalanced Dataset
    3. Building Machine Learning Model
    4. Evaluate Machine Learning Model: Confusion Matrix; Accuracy, Precision, Recall, F1 Score; AUC ROC Score; Code Example
    5. Hyperparameter Tuning Model
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