This project includes implementation of multiple classification machine learning models on spam twitter account data set. I have used Naive Bayes, LogisticRegression, RandomForest, Neural Networks, Decision Tree and Extra Trees Classifier.

Describe Data

Info

I removed the outliers present in the dataset using z-score method.

Before

After

Classification Report of Different Models:

1. Logistic Regression

2. Naive Bayes

3. Random Forest

4. Neural Network

5. Decision Tree Classifier

6. Extra Trees Classifier

Out of all the classification models, Extra Trees Classifier has given the highest accuracy followed by Random Forest Classifier.