1. Titanic Data Training [45 pts] The objective of the provided data set is to classify whether the passengers survived or not. In this assignment, students will perform the train data preparation. Using the provided data set, train the dataset by completing the following. 1. (5 pts) Determine the data type of features. 2. (5 pts) Determine the ratio of survival rate. The ideal binary classification situation (e.g., T/F or 1/0) has a 50-to-50 ratio, which we call the balanced set. 3. (5 pts) Determine the missing value features and their number of observations. Explain how you would handle features. Explain whether deleting the feature(s) or observation(s) is the best choice. If not, explain why not. 4. (5 pts) Determine any feature(s) that can be removed. Explain why. Then remove them. 5. (5 pts) Convert text feature(s) into a numerical feature(s). Explain if any features do not require numerical conversion. 6. (10 pts) Write a method "data_split(data, ratio)" that shuffles the observations and spli