Introduction to fraud detection

Phát hiện gian lận với Python

Charlotte Werger

Data Scientist

Meet your instructor

Charlotte Werger

Hi my name is Charlotte and I am a Data Scientist

Phát hiện gian lận với Python

What is fraud?

Examples of fraud: insurance fraud, credit card fraud, identify theft, money laundering, tax evasion, product warranty, healthcare fraud

Fraud is

  • uncommon
  • concealed
  • changing over time
  • organized
Phát hiện gian lận với Python

Fraud detection is challenging

Phát hiện gian lận với Python

Fraud detection is challenging

Phát hiện gian lận với Python

Fraud detection is challenging

Phát hiện gian lận với Python

Fraud detection is challenging

Phát hiện gian lận với Python

How companies deal with fraud

Fraud analytics teams:

  1. Often use rules based systems, based on manually set thresholds and experience
  2. Check the news
  3. Receive external lists of fraudulent accounts and names
  4. Sometimes use machine learning algorithms to detect fraud or suspicious behavior
Phát hiện gian lận với Python

Let's have a look at some data

df=pd.read_csv('creditcard_data.csv')

df.head()

    V1          V2       ...   Amount    Class
0  -0.078306    0.025427 ...    1.77     0
1  0.000531     0.019911 ...    30.90    0
2  0.015375    -0.038491 ...    23.57    0
3  0.137096    -0.249694 ...    13.99    0
4  -0.014937    0.005771 ...    1.29     0

df.shape

(5050, 30)
Phát hiện gian lận với Python

Let's practice!

Phát hiện gian lận với Python

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