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