Imagine you have been assigned the role ofchief fraud investigator for your organization. There have been severalcredit card fraud incidents reported. Machine Learning can be utilizedto looked for unusual spending patterns and locations to help identifytheft.

For this task, use https://drive.google.com/file/d/1KLFkmjGzmMnO8o6JR…,and create a machine learning algorithm that predicts credit cardfraud. You may use any algorithm you like. Be sure to include the Pythoncode (i.e. you must implement the algorithm in Python) to ingest,prepare, model, and show the results of the algorithm.

Submit 1 Python code file of 100-200 lines and 1 Word document.

1. You may use any algorithm you like. You must implement thealgorithm in Python to ingest, prepare, model, and show the results ofthe algorithm. Use a training, testing, and validation approach thatallows for the algorithm to be run on future unseen data.
2. Code must be well-commented – explain your decisions and whatthe code is doing – it is far better to overcommit than under comment.
3. Code should adhere to best practice code standards.
4. Capture and record results and screenshots in a Word document(alternatively, you can submit a Jupyter Notebook that includeseverything).