Publications by Nagdev Amruthnath
Coin Collector: A Fun Pygame for Beginners
Pygame is a Python module that enables the creation of video games and multimedia applications. It provides a framework for developing 2D games and interactive programs using Python code, and includes features such as graphics rendering, sound playback, and user input handling. Pygame is built on top of the SDL library and is cross-platform, meanin...
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PyCaret: A unified ML platform for training and deploying Machine Learning Models at Scale
PyCaret is an open-source machine learning library in Python that is designed to reduce the time and effort required for building, deploying and scaling machine learning models. It provides a simplified and unified interface for various machine learning tasks like classification, regression, clustering, natural language processing and anomaly detec...
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Using Cassandra Through R
In the last couple of years, there has been a lot of buzz around open source community. Almost every day, there are a lot of tools being open sourced. With a ton of open source tools in the market, don’t expect to have drivers built for every platform. I am a big fan of open source and the main reason is the huge community behind it.I came acro...
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Top 8 Docker Images for Data Science
Dockerizing Data Science: IntroductionPreReqs: Docker, images, and containersDockerizing data science packages have become more relevant these days mainly because you can isolate your data science projects without breaking anything. Dockerizing data science projects also make most of your projects portable and sharable and not worrying about inst...
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MinIO for Machine Learning Model Storage using Python
MinIO is a object storage database which uses S3(from Amazon). This is a very convenient tool in for data scientists or machine learning engineers to easily collaborate and share data and machine learning models. MinIO is a cloud storage server compatible with Amazon S3, released under Apache License v2. As an object store, MinIO can store unstru...
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Data Science in Manufacturing: An Overview
Original article published in opendatascience.comIn the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cyber security, mechanical, aerospace, and other industrial applications. Among these, manu...
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Convolutional Neural Network under the Hood
Neural networks have really taken over for solving image recognition and high sample rate data problems in the last couple of years. In all honesty, I promise I won’t be teaching you what neural networks are or CNN’s are. There are hundred’s of resources that are published everyday explaining them. I’ll post few links below. I am a seriou...
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Auto Encoders for Anomaly Detection in Predictive Maintenance
Autoencoders is an unsupervised version of neural network that is used for data encoding. This technique is mainly used to learn the representation of data that can be used for dimensionality reduction by training network to ignore noise. Autoencoders play an important role in unsupervised learning and deep architectures mainly for transfer learn...
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COVID-19 Data and Prediction for Michigan
Every country is facing a global pandemic caused by COVID19 and it’s quite scary for everyone. Unlike any other pandemic we faced before, COVID19 is providing plenty of quality data in near real time. Making this available for general public has helped citizen data scientists to share their reports, forecast trends and building real-time dashbo...
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Anomaly Detection for Predictive Maintenance using Keras
In this tutorial I will discuss on how to use keras package with tensor flow as back end to build an anomaly detection model using auto encoders. Auto encoders is a unsupervised learning technique where the initial data is encoded to lower dimensional and then decoded (reconstructed) back. Based on our initial data and reconstructed data we will ...
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