Santander - Study guides, Revision notes & Summaries

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Santander_Bank_Case_Study_ML_Week6_NEC Santander_Bank_Case_Study_ML_Week6_NEC
  • Santander_Bank_Case_Study_ML_Week6_NEC

  • Exam (elaborations) • 16 pages • 2023
  • Available in package deal
  • 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. ...
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Fundamentals_of_ensemble_modeling_Week5_NEC Fundamentals_of_ensemble_modeling_Week5_NEC
  • Fundamentals_of_ensemble_modeling_Week5_NEC

  • Exam (elaborations) • 13 pages • 2023
  • Available in package deal
  • Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task using Random Forest and XGBoost algorithms on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameter settings of the two algorithms to find the best available models. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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Classification_with_Logistic_Regression_Week3_NEC Classification_with_Logistic_Regression_Week3_NEC
  • Classification_with_Logistic_Regression_Week3_NEC

  • Exam (elaborations) • 30 pages • 2023
  • Available in package deal
  • Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try several permutations of the model before finding the best available model. You are required to clearly display and explain the models that were run for this task.
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Fundamentals_of_Linear_Predictive_Modeling Fundamentals_of_Linear_Predictive_Modeling
  • Fundamentals_of_Linear_Predictive_Modeling

  • Exam (elaborations) • 7 pages • 2023
  • Available in package deal
  • Write a fully executed R-Markdown program and submit a pdf / word or html file performing classification task on the Binary response variable from the Santander Bank Case Study. Make sure to try various hyperparameters of the SVM algorithm to find the best available model. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.
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Fundamentals_of_ML_Week2_NEC Fundamentals_of_ML_Week2_NEC
  • Fundamentals_of_ML_Week2_NEC

  • Exam (elaborations) • 15 pages • 2023
  • Available in package deal
  • Write a fully executed R-Markdown program and submit a pdf / 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.
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Santander Risk Report
  • Santander Risk Report

  • Other • 13 pages • 2024
  • describe your bank of interest, discuss the importance of banks in the economy, their role in an economic system, and whether or not they are needed. Analyze the performance of your chosen over the last 5 years reflect on your knowledge of it and justify your choice of performance indicators. Highlight policy changes and regulations, government policies and interventions, and central bank announcements that could have affected the bank’s activities including interest rate changes etc. Aiming t...
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Santander Risk Report
  • Santander Risk Report

  • Other • 13 pages • 2024
  • describe your bank of interest, discuss the importance of banks in the economy, their role in an economic system, and whether or not they are needed. Analyze the performance of your chosen over the last 5 years reflect on your knowledge of it and justify your choice of performance indicators. Highlight policy changes and regulations, government policies and interventions, and central bank announcements that could have affected the bank’s activities including interest rate changes etc. Aiming t...
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  • £16.99
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TEXES History 233 Latest Updated 2023 with Certified Solutions
  • TEXES History 233 Latest Updated 2023 with Certified Solutions

  • Exam (elaborations) • 16 pages • 2024
  • Available in package deal
  • Battle of Gonzales First battle of the Texas Revolution; 10-2-1835 Battle at San Jacinto Last battle of Texas Revolution, won by the Texans; Stephen F Austin Established the first Anglo-American colony in Texas; believed issues could be solved within the Mexican Structure; Secretary of State of Texas 1830 Law Mexican official made it illegal for any more Americans to move into Texas Álvar Núñez Cabeza de Vaca After attempting to go back to Cuba, he would land in Galveston, Texas and li...
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TEXES History 233 Exam Questions And Answers
  • TEXES History 233 Exam Questions And Answers

  • Exam (elaborations) • 7 pages • 2024
  • Available in package deal
  • TEXES History 233 Exam Questions And Answers Battle of Gonzales - ANS First battle of the Texas Revolution; 10-2-1835 Battle at San Jacinto - ANS Last battle of Texas Revolution, won by the Texans; Stephen F Austin - ANS Established the first Anglo-American colony in Texas; believed issues could be solved within the Mexican Structure; Secretary of State of Texas 1830 Law - ANS Mexican official made it illegal for any more Americans to move into Texas Álvar Nú...
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Machine_Learning_Week6_NEC_Solved Machine_Learning_Week6_NEC_Solved
  • Machine_Learning_Week6_NEC_Solved

  • Exam (elaborations) • 16 pages • 2023
  • Available in package deal
  • Santander Bank Case Study 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.
    (0)
  • £8.36
  • + learn more