Rare event prediction is not new for data science. Here’s how to deal with imbalanced dataset.
Training a machine learning model for classification needs a balanced dataset. Here’s what to do when you have an unbalanced one.
Speed up aggregations using .agg method instead of .apply and .map methods.
How to speed up Pandas data wrangling operations with simple tweaks.
Django’s permission system can take care of the access control in Streamlit. Now manage granular permissions for users.
Build a flexible authentication system around your machine learning web app
Word cloud is a great visualization technique. Creating one is easy too. This post discusses an example of using the Wordcloud library to generate word clouds.
Training a deep learning model requires a lot of data. When we can also build a successful model with small datasets with these techniques.
Replacing values on a dataframe can sometimes be very tricky. Bulk replacement in a large dataset could be difficult and slow.
How to create an image data augmentation pipeline to generate tons of synthetic data points?