scikit-learn Project 🦃

• Centered around classifiying whether a website was benign (type 0) or malicious (type 1)

Features 😎

• Used pandas to create a useable dataset
  • Used an equal about of type 0 and 1 rows
  • Dropped null values
  • Shuffled these values and reset the dataframe's index
• Classifiers with approximately 80-90% accuracy
  • Logistic regression
  • Ridge classifier
• Used Matplotlib to graph scatterplots
  • To see relationships and trends between variables I was feeding through SKL's classifiers
  • Red dots represent malicious websites and green dots represent benign websites

Attempted features 😢

• Because my data isn't really linearly separable, I had trouble with the following classifiers
  • Perceptron
  • Linear Support Vector Machine
• Used Matplotlib to further understand why this was the case