Machine learning

Download 50,000 tweets with labels 25,000 tweets with# 25,000 tweets with # Preprocess and clean the data Apply the classification algorithms (logistic regression, KNN, SVM, Decision Tress) Use 10 fold cross validation Show implementation of all models along with confusion matrix, accuracy, precision, recall, F-measure and ROC plots Choose the best model that can classify the downloaded tweets with labels in the best way. Also, do the LSA and clustering on the labelled tweets. we will provide some of the code. it is attached.