machine learning

Learning Resource: Causal Inference

Difference between Econometrics & Statistics What is the difference between Econometrics and Statistics? Professor Joshua Angrist (MIT) explains the differnce in this video. Statisticians use sampling to make statistical inferences about large populations.

Dec 14, 2023 3 min read causal inference, ML

Learning Resource: Causal Machine Learning with DoubleML

Here are some study notes for Double Machine Learning in causal inference. Introduction Double machine learning, as introduced by (Chernozhukov et al. 2018), is a methodology used in causal inference, which is particularly useful when dealing with high-dimensional data.

Nov 21, 2023 3 min read tutorial, Probability, causal inference, ML

Tidymodels Ecosystem Tutorial

Tiydmodels Ecosystem I also hold this post on this RPub tutorial. Introduction First we should get a feeling of tidymodels ecosystem, and understand what each package does! Note that: Data

Sep 15, 2022 17 min read ML, R, tutorial

XGBoost in R Tutorial

Note that the original material is from Beginners Tutorial on XGBoost and Parameter Tuning in R. Introduction Last week, we learned about Random Forest Algorithm. Now we know it helps us reduce a model’s variance by building models on resampled data and thereby increases its generalization capability.

Jan 12, 2022 18 min read R, ML