Week One Assignment (Part A) - Introduction to ML You are expected to be able to program in R. Use Titanic dataset and perform EDA on various columns. Without using any modeling algorithms, and only using basic methods such as frequency distribution, describe the most important predictors of survival of Titanic passengers, e.g. were males or females more likely to survive, were young and rich females more likely to survive than old poor males etc? Please submit the assignment in a word file. Week One Assignment (Part B) - Fundamentals of ML Write a fully executed R-Markdown program and submit a word or html file. The program should merge / join the data files given to you as part of the Santander Bank Case Study. You are then required to perform Exploratory Data Analysis (EDA) along with describing the features of the response variable, visualizing a few predictors, and clearly explaining the findings. Points will be deducted in case the explanation and commentary is missing in the submission.  Visit the Kaggle website for the Santander Bank classification challenge and describe the main problem. Also describe various challenges and limitations of this case analysis.   https://www.kaggle.com/c/santander-customer-transa..  https://faulkneracademyorg-my.sharepoint.com/:u:/g... use Santander Customer Transaction Prediction CSV file for EDA.