Deploy Serverless Machine Learning Model to AWS
In this post, we will deploy a serverless machine learning model to AWS using Serverless. The set-up of Serverless is discussed here. Let's create a directory mkdir scikit-regression && cd…
Serverless Framework (Windows) – How to Deploy Python REST API to AWS
In this walk-through, we will: Install Serverless Framework (Windows)Deploy a Python REST API endpoint Getting Started To get started, you'll need the Serverless Framework installed. You'll also need your environment configured with AWS…
Data-driven Analytics Support for E-commerce
This post details how to develop data-driven analytics support for e-commerce. E-Commerce is a fast-growing and highly competitive space. Businesses need to continue testing and iterating to improve business operations,…
Deploy Tableau Server on AWS
This guide provides step-by-step instructions for deploying Tableau Server standalone architecture on AWS. Tableau Server is an online solution for sharing, distributing, and collaborating on business intelligence content created in…
Full-stack Deep Learning Application Using AWS Fargate Serverless Infrastructure
This post showcases full-stack Deep Learning Application Using AWS Fargate Serverless Infrastructure. The project we optimise a model for Utilisation of hospital beds - COVID-19. It is motivated by the…
AI for Healthcare
AI for Healthcare
This post provides a link to my Github repository for my submissions for Udacity's AI for Healthcare Nanodegree Program. I learned to build, evaluate, and integrate predictive models that have the power to transform patient outcomes and uses AI for Healthcare. I started by classifying and segmenting 2D and 3D medical images to augment diagnosis and then moved on to modelling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, I build an algorithm that uses data collected from wearable devices to estimate the wearer's pulse rate in the presence of motion. Applying AI to 2D Medical Imaging Data…
Udacity Data Engineering Capstone Project
Project Summary The project follows the follow steps: Step 1: Scope the Project and Gather DataStep 2: Explore and Assess the DataStep 3: Define the Data ModelStep 4: Run ETL…
Classical & Statistical Time Series Modelling of United Health Group’s Stock Price
Time series is different from a regular regression problem because it is time dependent. The basic assumption of a linear regression that the observations are independent doesn’t hold in this…