I will start this article by thanking to Nicolás Metallo for sharing the code on github. Why should I build web applications for data science As data scientist, I often work with data on my own laptop (Jupyter notebooks, VS Code, etc). To demonstrate visualizations and machine learning workflows to stakeholders I often build a proof of concept app…

Simply, for improving myself and sharing “aha moments” from my own experience. There is plenty of content and classes for the topics I write about. For many years I thought that I would not bring anything new to the table. After I started learning new topics by reading articles in…

In my last blog post, I discussed adding data analysis to data processing in EMR. Though that workflow works well for data processing, there are two draw backs. EMR has only basic set of data processing libraries — these are sufficient to do basic data analysis and plotting as detailed…

In this document, I will demonstrate how to do data analysis and plots using a simple workflow with EMR notebooks. This workflow eliminates the complexity of disjointed workflow of separate data processing (in EMR) and exploratory data analysis (in Python notebook). …

There are several articles about modeling linear and integer programs in Python. Please refer to this article that solves a simple problem using PulP. There are two ways of building an LP model and most of the articles only illustrate row-wise modeling where the constraints are built one row after…

Introduction Machine learning models are trained by data scientists but too often predictions made are not analyzed to check for bias, fairness and insights. This step is helpful to do what-if analysis on model performance. Google’s what-if tool is very useful in doing this. We need predictions on large sample of…

Uncertainty makes decision making hard We face uncertainty while making decisions everyday. When we are faced with picking one of the several options, we are often perplexed because the outcomes for each option have uncertainty. In this article I will cover a simple technique that is intuitive which will work in many situations. Best case and worst case analysis In the…

This article will help you use latest airline data for your data science projects. Introduction Studying airline travel is very interesting since there is movement in both space and time. It is also fascinating to study an industry that is evolving with time. However the data being used in data science…