---
title: "Ajay Mehta (@AjayKMehta) | Hashnode"
description: "Ajay Mehta (@AjayKMehta) writes on Hashnode. Read their latest articles and follow their work."
url: "https://hashnode.com/@AjayKMehta"
---

@AjayKMehta

# Ajay Mehta

@AjayKMehta · Joined June 2021

## Comments

[An alternative approach to get standardization parameters would be to calculate them (again): tmp <- monthly\_retail\_tbl %>% group\_by(Industry) %>% arrange(Month) %>% mutate(Turnover = log1p(x = Turnover)) %>% group\_map(~ c(mean = mean(.x$Turnover, na.rm = TRUE), sd = sd(.x$Turnover, na.rm = TRUE))) %>% bind\_rows() std\_mean <- tmp$mean std\_sd <- tmp$sd rm('tmp')](https://hashnode.com/posts/time-series-forecasting-lab-part-2-feature-engineering-with-recipes/61d5c777e2f29f0805e13d7a/comment/61f0239f87fd2728e7cd3913)

Comment · Article · Jan 25, 2022 · [Time Series Forecasting Lab (Part 2) - Feature Engineering with Recipes](https://hashnode.com/posts/time-series-forecasting-lab-part-2-feature-engineering-with-recipes/61d5c777e2f29f0805e13d7a)