This project is mainly about practicing the Markdown
Customer Name | Account 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
-
Name1
-
Name2
-
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")
-
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
(https://github.com/kannavar/fraud_detection/master/README.md) Direct Link
See my About page for details.
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