Fraud Detection in Python - Lesson 19 - Upsampling the Minority Class with SMOTE
5:58
Fraud Detection in Python - Lesson 19 - Upsampling the Minority Class with SMOTE
Fraud Detection in Python - Lesson 11- Interpreting the XGBoost Model
2:37
Fraud Detection in Python - Lesson 11- Interpreting the XGBoost Model
Fraud Detection in Python - Lesson 12 - Understanding the Cost of Misclassification
7:46
Fraud Detection in Python - Lesson 12 - Understanding the Cost of Misclassification
Fraud Detection in Python - Lesson 13 - The Accuracy Paradox
2:58
Fraud Detection in Python - Lesson 13 - The Accuracy Paradox
Fraud Detection in Python - Lesson 14 - Implementing Performance Metrics in scikit-learn
8:04
Fraud Detection in Python - Lesson 14 - Implementing Performance Metrics in scikit-learn
Fraud Detection in Python - Lesson 15 - Threshold Optimization using Performance Metrics
6:58
Fraud Detection in Python - Lesson 15 - Threshold Optimization using Performance Metrics
Fraud Detection in Python - Lesson 16 - Threshold Optimization using Total Cost of Fraud
4:39
Fraud Detection in Python - Lesson 16 - Threshold Optimization using Total Cost of Fraud
Fraud Detection in Python - Lesson 17 - Introduction to Streamlit
1:35
Fraud Detection in Python - Lesson 17 - Introduction to Streamlit
Fraud Detection in Python - Lesson 18 - Building a Threshold Simulation for Visual Inspection
8:32
Fraud Detection in Python - Lesson 18 - Building a Threshold Simulation for Visual Inspection
Fraud Detection in Python - Lesson 1 - What is Anomaly Detection
10:55
Fraud Detection in Python - Lesson 1 - What is Anomaly Detection
Fraud Detection in Python - Lesson 2 - What is Fraud Detection
7:04
Fraud Detection in Python - Lesson 2 - What is Fraud Detection
Fraud Detection in Python - Lesson 3 - Exploring the Credit Card Fraud Data Set
5:00
Fraud Detection in Python - Lesson 3 - Exploring the Credit Card Fraud Data Set
Fraud Detection in Python - Lesson 4 - Managing Labels in a Fraud Detection Context
5:04
Fraud Detection in Python - Lesson 4 - Managing Labels in a Fraud Detection Context
Fraud Detection in Python - Lesson 5 - Sampling with a Class Imbalance
10:41
Fraud Detection in Python - Lesson 5 - Sampling with a Class Imbalance
Fraud Detection in Python - Lesson 6 - Training a Baseline Logistic Regression Model using sklearn
9:27
Fraud Detection in Python - Lesson 6 - Training a Baseline Logistic Regression Model using sklearn
Fraud Detection in Python - Lesson 7 - Improving the Logistic Regression Model
6:53
Fraud Detection in Python - Lesson 7 - Improving the Logistic Regression Model
Fraud Detection in Python - Lesson 8 - Interpreting the Logistic Regression Model
11:06
Fraud Detection in Python - Lesson 8 - Interpreting the Logistic Regression Model
Fraud Detection in Python - Lesson 9 - Training an XGBoost Model
4:43
Fraud Detection in Python - Lesson 9 - Training an XGBoost Model
Fraud Detection in Python - Lesson 10 - Improving the XGBoost Model through Hyperparameter Selection
4:07
Fraud Detection in Python - Lesson 10 - Improving the XGBoost Model through Hyperparameter Selection
Fraud Detection using Python course - Demo Project
2:05
Fraud Detection using Python course - Demo Project