Applied neural network classifier using scikit-learn’s MLPClassifier and assessed its performance through cross-validation. First, the features are extracted from the DataFrame, selecting columns related to ‘inquiry_type’, ‘how_contacted’, and ‘research_type’. Categorical variables are then encoded using one-hot encoding to convert them into a format suitable for the neural network.