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Sendy Logistics challenge solution walkthrough in R, Wanjala Frida

Wanjala Fridah offers a solution walkthrough in R on the Sendy Logistics challenge currently hosted on Zindi ( http://bit.ly/sendychallenge). The resources being used in this tutorial can be found on http://bit.ly/datathon26 under the R folder.

The following resources, frameworks have been highlighted in this video:
CRISP- DM : https://www.ibm.com/support/knowledgecenter/en/SS3RA7_15.0.0/com.ibm.spss.crispdm.help/crisp_overview.htm
Tidyverse : https://www.tidyverse.org/
Lubridate : https://lubridate.tidyverse.org/
Caret : http://topepo.github.io/caret/index.html
Purr : https://purrr.tidyverse.org/
Bias variance tradeoff : https://towardsdatascience.com/understanding-the-bias-variance-tradeoff-165e6942b229

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