This project includes finding spammer and bot accounts in Twitter using machine learning techniques. The dataset is provided at the Kaggle website and I have compared the performance of the following algorithms:

• ID3 Decision Tree
• CART: Classification and Regression Trees
• Gaussian Naive Bayes
• SVM
• Logistic Regression
• SVM + CART
• Bagged Forest CART

The results show that Bagged Forest Cart algorithm and CART has the best accuracy on finding spam account.