Logistic Regression in Tensorflow with SMOTE

This blog discusses the implementation of Logistic Regression in TensorFlow to detect anomalies. Also, we will see how SMOTE (Synthetic Minority Over-sampling Technique) can be applied to generate additional data points for minority class.... [Read More]

Anomaly Detection, a short tutorial using Python

Anomaly detection is the problem of identifying data points that don't conform to expected (normal) behaviour. Unexpected data points are also known as outliers and exceptions etc. Anomaly detection has crucial significance in... [Read More]