Exam (elaborations)
Santander_Bank_Case_Study_ML_Week6_NEC
Write a formal report on your findings from the last several weeks for the classification of the Santander Bank Case Study. The main objective is to write a fully executed R-Markdown program performing classification using the best models found for logistic regression, SVM, Random Forest and XGBoost algorithms, and comparing the values of their cost functions and accuracy scores. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. Clean and merge all the files using proper IDs discussed in the second week. Create one master data file to be analyzed for case study 2. Now perform EDA and share your findings in the form of an R Markdown report.
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Institution
Machine Learning
Course
Machine learning
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- Machine learning
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