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Fraud Detection Model

Details of the project

This project is mainly about practicing the Markdown

Customer NameAccount Type Date of Fraud
John Lewisko Current 20-Jan-1956
Harry Potter Swiss Savings 30-Feb-1943

This data is obtained using the ML model after eliminating the outliers

This data is obtained with single block quote

Ordered Lists

  1. Name1

  2. Name2

  3. A List item with Code block. We need to give 8 spaces

       import numpy as np 
       import pandas as pd 
       print("This is a data sceince program")
    
  4. Use the df.sum() function to calculate the sum of all values in the column. Inline code snips

Unordered Lists

  • Name
  • Age
  • City
  • Name
  • Age
  • City

You can search on inline link Google.com

Hello to Fraud Detection

Mark Down Syntax

(https://github.com/kannavar/fraud_detection/master/README.md) Direct Link

See my About page for details.

© Ahobilam Partners 2020-21

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