datascience-methodology-and-practice

Learning notes on AI, data science, machine learning and advanced analytics

References

• https://towardsdatascience.com/data-science-methodology-101-ce9f0d660336
• https://www.linkedin.com/pulse/data-science-process-methodology-pratibha-kumari-jha/
• https://www.datascience-pm.com/data-science-methodologies/
• https://www.ibm.com/topics/exploratory-data-analysis#:~:text=the%20next%20step-,What%20is%20EDA%3F,often%20employing%20data%20visualization%20methods
• https://medium.com/ml-research-lab/part-1-data-science-methodology-from-problem-to-approach-e2d05e7afc6b
• https://www.kaggle.com/code/xiuwenbo666/data-science-methodology

Peer Review Inputs

• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4796421/
• https://www.fbi.gov/investigate/white-collar-crime/health-care-fraud
• https://www.chhs.ca.gov/wp-content/uploads/2022/01/Commissioner-William-Hsiao-Comments-on-Fraud-and-Abuse-in-Healthcare-Claims.pdf

Code Spaces

• https://github.com/rdagumampan/datascience-methodology-and-practice/tree/main