@Marve
Interested in breaking down machine learning models and rebuilding into amazing products
Nothing here yet.
Nothing here yet.
Jul 11, 2022 · 6 min read · Introduction Notebooks are essential tools for data scientists, machine learning engineers and researchers as they allow fast experimentation and also make sharing both the codes and results easier. But there lies one of the greatest challenges with ...
EEduardo commented
Jul 1, 2022 · 10 min read · Almost all data scientist start out their career with a project folder like this. A single folder containing a single notebook (or maybe two) containing all their codes i.e for data ingestion, data transformation and preprocessing, model building, m...
Join discussion
Jun 24, 2022 · 18 min read · Introduction I’m sure every data scientist starts their data science journey by pumping those accuracy scores, trying to squeeze out an extra 0.5% to move their 99% accurate model to 99.5% while also trying to maintain a healthy balance of preventing...
Join discussion
Jun 19, 2022 · 15 min read · Have you ever built a simple ETL (Extract-Transform-Load) pipeline in python to convert a JSON file to CSV? Easy peasy, right????? But have you ever tried to transform a large dataset (Large here meaning a dataset in which the dataset size is larger ...
MMike commented