Spam detection studied on the Twitter dataset by building 3 case studies:

1. Case 1 - Using all numerical features
2. Case 2 - Selecting top 7 features by using SelectKBest package from SKlearn
3. Case 3 - Performing PCA and selecting the features explaining 95% variance

Grid search CV is employed to find the optimal hyperparameters for the following classification algorithms -

1. Naive Bayes
2. KNN
3. SVM
4. Decision Tree
5. Random Forest
6. Multi Layer Perceptron