In this section, we are going to build a phishing detector from scratch with a logistic regression algorithm. Logistic regression is a well-known statistical technique used to make binomial predictions (two classes).
Like in every machine learning project, we will need data to feed our machine learning model. For our model, we are going to use the UCI Machine Learning Repository (Phishing Websites Data Set). You can check it out at https://archive.ics.uci.edu/ml/datasets/Phishing+Websites:
The dataset is provided as an arff file:
The following is a snapshot from the dataset:
For better manipulation, ...
