One and Only Guide to Plotting Regression Line in Python
This article is a guide to plotting regression line in Python. It will focus on linear regression. We will learn the crucial concepts with code in python. Once finished we'll…
Discover AWS Serverless way to Deploy Food Recipe Application in 7 Easy Steps
This post shows AWS serverless architecture to deploy a machine learning application. I will deploy the food recipe application as discussed here using AWS Fargate. Fargate is a service provided…
How to Quickly Save a Trained Machine Learning Model
This blog post discusses how to quickly save a trained machine learning model that suggests recipes based on the user's data, and nutritional value using Joblib and Pickle. The reason…
7 ShortListed Free and Decisive MLOps Tools for Food Recipe Application
This article discusses Machine Learning Model Operationalization Management (MLOps) tools to develop and deploy a food recipe application. It lists the tools that are framework-, platform-, and infrastructure-agnostic using Python…
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,…
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…
Novelty, Anomaly and Segmentation Discovery using Matrix Profile
In this notebook, novelty and anomaly and segmentation discovery using Matrix Profile. We are using Stumpy for time series data mining tasks. We'll examine a data set containing daily opening…