I am following Kaggle community for last several years. In 2021, I actively participated in multiple Tabular Playground Series competitions. I didn't perform well (struggled to be around top 10%), but I used this opportunity to build a robust Kaggle Pipeline for my personal use. After September 2021's Tabular Playground Series competition, I decided to … Continue reading Open Sourcing My Kaggle Pipeline
A short review of the book "Hiring Data Scientists and Machine Learning Engineers" by Roy Keyes
This post is a summary of my talk on how Machine Learning is being used for the Predictive Maintenance of Heating, Ventilation and Air Conditioning (HVAC) assets. This talk was delivered as a part of TWIMLfest 2020.
Brief Summary and outline of my talk about "Parallelization of Data Science Workflow with Large Data using Dask" in Dec 2020
My reading list for 2021
A summary of my talk on "Automatic Feature Engineering on Large Scale Time Series Data using tsfresh & Dask" at PyData Montreal Jan 2021 meetup & BelPy 2021 conference
Beginning of March 2020, I did some reading about COVID-19 and its spread around the world. I am trying to share my learning from that.
My Notes on few interesting features of Time Series Data
In Wildfly, multiple applications can be deployed together. With the default configuration, there is no control on the maximum number of connections/threads assigned to any particular application. This blog describes configurations needed to restrict maximum number of threads assigned to any application. That way if one of the applications hang (consuming all the threads assigned … Continue reading Wildfly 8.x : Control maximum number of connections (threads) assigned to an application
According to Oxford Dictionaries, the word "popular" means "liked or admired by many people or by a particular person or group". I know folks who code just for their living without any love for it. So, I am not going to use the term "Popularity", but will use the term "Usability" - "Usability Index For … Continue reading Popularity (Usability) Index for Programming Languages