Subramanian Hariharan

Calibration of Machine Learning Models

Model Calibration gives insight of uncertainty in the prediction of the model and in turn, the reliability of the model.

Build a Simple Realtime Data Pipeline

In this article, we will look at a basic Kafka data pipeline where we extract live TESLA stock data from Yahoo Finance website.

Using Docker to Create a Cassandra Cluster

In this article, we will explore Cassandra by creating a simple two-node Cluster using Docker. helping to run Cassandra locally.

Exploring Partitions and Consumer Groups in Apache Kafka

We will discuss Apache Kafka and build the understanding of using the python API to write some simple Producer and Consumer applications.

Handling Streaming Data with Apache Kafka – A First Look

We will look at the basics of how Apache Kafka handles streaming data through some coding exercises with Kafka-Python. 

Understanding the Basics of Docker Container Networking’s Basic

In this article, we will be understanding in depth about the basics and nitty gritties of the Docker Containers Networking.

Understanding Key Concepts on Data Warehouses

In this article we will understand in-depth about the key concepts on data warehouses usurping hands on approach.

A Simple Data Pipeline to Show Use of Python Iterator

We'll explore one aspect of the pandas read_csv Python iterator parameter, which can be used to read relatively large input data.

Deploying ML Models Using Kubernetes

The deploying ML Models undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data.

Understanding hypothesis testing through an end to end case study