tidymodels

Using UMAP preprocessing for image classification

UMAP Uniform manifold approximation and projection or in short UMAP is a type of dimension reduction techniques. So, basically UMAP will project a set of features into a smaller space.

Explore data using PCA

Principal component analysis (PCA) PCA is a dimension reduction techniques. So, if we have a large number of predictors, instead of using all the predictors for modelling or other analysis, we can compressed all the information from the variables and create a new set of variables.

Hyperparameter tuning in tidymodels

This post will not go very detail in each of the approach of hyperparameter tuning. This post mainly aims to summarize a few things that I studied for the last couple of days.