这是一篇来自香港的关于金融欺诈分析的金融代写

 

Assessment Criteria:

  • Plagiarism: Please follow the guidelines laid down by our department.
  • You are allowed to discuss the assignment with your classmates, however,direct copy and paste is PROHIBITED and would be considered as PLAGIARISM.
  • Assignments would be marked based on the logic, presentation and understanding of the problem; not only on accuracy.
  1. (25%) Exploratory Data Analysis

a.Download the following dataset Synthetic Financial Datasets For Fraud Detection from the link below:

https://www.kaggle.com/ealaxi/paysim1

b.Using the R package, conduct exploratory analysis of the dataset downloaded

  1. (25%) Cluster Analysis

a.Download the following dataset Credit Card Fraud Detection Data from the link below:

https://www.kaggle.com/mlg-ulb/creditcardfraud

b.Using the R package, conduct cluster analysis of the dataset downloaded

NOTE: A sample R script is provided, but you still need to complete the program. Or you can build the model by yourselves and use whatever library you like.

3. (50%) Write a 2-3 pages essay on the following:

a.Describe the dataset based on the exploratory analysis result, including:

  • Summary description of the dataset
  • Univariate analysis
  • Bi-/Multi-variate analysis
  • Missing data/Outlier analysis

b.Describe the following based on the k-means clustering results,including:

    • Explain how you find the optimal number “k”, i.e. number of clusters used to build the k-means model
    • Name the clusters found and interpret what each cluster represents
    1. S ubmission on Moodle:

    a.R language script

    b.A pdf version report


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