A checklist for transforming features for better model performance — Feature engineering is the process of transforming data to extract valuable information. In fact, if appropriately transformed, feature engineering can play even a bigger role in model performance than hyperparameter tuning. Despite its huge role, feature engineering is often not well understood, and sometimes misunderstood, by beginner and experienced data…

A summary of my final project in the alumni-mentored research project at Columbia University in Summer 2021: Application of Reinforcement Learning to Finance — April 4th, 2022 Update: The codes in the post and my notebook might not work anymore due to FinRL’s continuous updates. So please make sure to check out the latest information on FinRL’s GitHub when you test the idea of this post. Thank you so much for your interest!

Which is the better approach? — Today’s world allows us to think freely beyond our degrees and our physical location. The internet allowed people from all over the world to access the same data, communicate with each other, and learn from each other. …

They can make your daily work easier and faster. — In this article, I wanted to quickly show a few useful pandas methods/functions, which can come in handy during your daily work. To manage expectations, this is not an article showing the basic functionalities of pandas and there is no particular theme to the methods. Without further ado, let’s start! 1. hasnans …

Exploratory Data Analysis or what many people call EDA is a critical step in a machine learning or data science project. This step is more about learning the data and when done properly, you can find some interesting insights that can help you in understanding why certain predictions were made. …