“You can run you can hide but you can never escape data”.
Continuing with the mini-series on structuring ML/DL projects, debugging them, hitch-hacking I am pleased to share the news of the second article in this series with FloydHub: Becoming one with the Data (https://blog.floydhub.com/becoming-one-with-the-data/).
This article is an ensemble of tips and tricks collected from the industry experts (some personal ones too), code walk-throughs and many things more but all heavily focused around the data part - the fuel that drives machine learning projects.
Link to the previous article in this series: How to plan and execute your ML and DL projects (https://blog.floydhub.com/structuring-and-planning-your-machine-learning-project/)