Exploratory Data Analysis $($EDA$)$

In $[]$:

print$("$Train Dataset:"$)$

print$($train$\_$df$.$head$())$

print$("$InTest Dataset:"$)$

print$($test$\_$df$.$head$())$

Data Preprocessing

In $[]$: def preprocess$\_$data$($train$\_$df$,$ test$\_$df$)$:

# Initializing the TF$-$IDF vectorizer

vectorizer $=$ TfidfVectorizer$()$

# Fitting the vectorizer on the training data

vectorizer.fit$($train$\_$df$[\text{'}$text$\text{'}])$

# Transforming the training and test data using the fitted vectorizer

train$\_$features $=$ vectorizer.transform$($train$\_$df$[\text{'}$text$\text{'}])$

test$\_$features $=$ vectorizer.transform$($test$\_$df$[\text{'}$text$\text{'}])$