## learning deep learning

I found that Practical Deep Learning For Coders by Jeremy Howard is a brilliant source to learn deep learning with a practical and a very result oriented approach. This is one of a multi-part blog post. I am planning to … Continued

## Industrial profile and growth in Karnataka (1880-2015)

I explored into the data from the Registrar of Companies of the state of Karnataka (KA), India and explored into the data. The data used here is from the Open Government Data Platform of India. The KA state has company … Continued

## AWS Lambda as a serverless cronjob – Scheduling

CloudWatch events schedule can be used as an event source to trigger AWS Lambda functions. This can be used as a serverless alternative for automating cronjobs/scheduled tasks. We need to bear in mind that this would be suitable for simple … Continued

## Using AWS Lambda with Elasticsearch Service

Here I demostrate how to setup a serverless alternative for the ELK stack (Elasticsearch, Logstash and Kibana) using AWS Elasticsearch service (ES) and Lambda using python. The classic ELK stack is great but there is an overhead of managing and … Continued

## Indian PIN codes (Interactive)

Input a PIN code and you can interactively see the corresponding geographical regions of India, sub-regions, sorting district and post office. This is a quick project to understand how the Indian Postal Index Numbers (PIN codes) work with an interactive … Continued

## Statistical significance

To understand statistical significance, we need to understand the difference between a population and a sample. A sample is an individual or a group from a population that is representative in nature. Statistical significance is the likelihood (or probability) that … Continued

## Type I and Type II errors

In statistical testing, there can be incorrect outcomes. These outcomes are classified into type I and type II errors. Here, type I error is a false positive and type II error is a false negative. An incorrect rejection of a … Continued