Dataman Learning Paths— Build Your Skills, Drive Your Career
Dataman has contributed more than 90 articles in data science practices and applications. These articles are used in my lectures. Many of the articles provide codes or applications for you to follow through. Depending on your familiarity on certain topics, you may spend 20 minutes to an hour — that’s the beauty of the learning path. To help you manage the learning in a short period of time, this article organizes them into several learning paths. Some of the articles cover two or more topics. I still put each of them into one topic so as not to show you a duplicated list. Dataman also wants to thank you for your support. I will continue to write good articles. So bookmark this post and read on!
On Feature Engineering
- Feature Engineering for Healthcare Fraud Detection
- Feature Engineering for Credit Card Fraud Detection
- A Data Scientist’s Toolkit to Encode Categorical Variables to Numeric
- Avoid These Deadly Modeling Mistakes that May Cost You a Career
- Are you Bilingual? Be Fluent in R and Python
- Algorithmic Trading with Technical Indicators in R
- Julia Is Easy to Learn — Fluent in Python, Julia, and R