FITE7410 Financial Fraud Analytics
金融作业分析代写 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
Assessment Criteria: 金融作业分析代写
- 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.
- (25%) Exploratory Data Analysis
- Download the following dataset Synthetic Financial Datasets For Fraud Detection from the link below:
https://www.kaggle.com/ealaxi/paysim1
- Using the R package, conduct exploratory analysis of the dataset downloaded
- (25%) Cluster Analysis
- Download the following dataset Credit Card Fraud Detection Data from the link below: 金融作业分析代写
https://www.kaggle.com/mlg-ulb/creditcardfraud
- 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.
- (50%) Write a 2-3 pages essay on the following:
- 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
- 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 金融作业分析代写
- Describe the dataset based on the exploratory analysis result, including:
- Submission on Moodle:
- Rlanguage script
- Apdf version report
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