Finding optimal values can make significant improvements in machine learning models. I enjoy experimenting with various values in the tuning processes and seeing my models getting better at prediction. However, it can be troublesome having to figure out the names, ranges, values, and other aspects for the parameters. …
Max Kuhn builds both packages (with contributions from many other talented people). The caret package (short for Classification And REgression Training) streamlines the process for creating predictive models and has been the top choice among R users. It’s been around for a long time, and there are numerous resources, answers…
In the post, I first explained the function input for creating a Sankey graphic with Plotly library in Python. I also provided the full script used to create my job search chart. If you are looking to create a similar graph, I hope this post can help you!
Why this feature image? Because this post is about collecting data on scooter subsidy in Taiwan, and I miss the food in 饒河夜市 (Raohe night market).
In Spring 2020, I conducted research on Taiwan’s subsidy on electric scooters for my Environmental Economics course. Since electric scooters are more expensive than…
While I love working with online and public datasets, it’s always fun to work with my own data. My iPhone is always with me and has been recording walking distance and steps. …
This post focuses on the overall predictive modelling workflow, including analysis strategy, model comparison, and limitations. If you are more interested in the technical aspect or viewing the code, please see:
The repository is available on GitHub.
Contraception is designed to prevent pregnancy. By preventing unintended pregnancy, contraceptive methods help…
caret in R to predict contraceptive useThis post focuses on the technical aspect of this project. If you’re interested in viewing the study paper to learn about the overall workflow, including analysis strategy, model comparison, and limitations, please view:
“An Introduction to Statistical Learning: With Applications in R” or ISLR was my first book on predictive…
