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… Read More »AI for Healthcare
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… Read More »Novelty, Anomaly and Segmentation Discovery using Matrix Profile
“Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data” is the topic of my final year project as part of my MSc… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 1
This post describes developing a web application for a machine learning model and deploying it so that it can be accessed by anyone. The web… Read More »Developing a Web Application for a Machine Learning Model
Guide for Linear Regression using Python – Part 2 This blog is the continuation of guide for linear regression using Python from this post. There… Read More »Guide for Linear Regression using Python – Part 2
Regression is the first algorithm we need to master if we are aspiring to become a data scientist. It is one of the easiest algorithms… Read More »Guide for Linear Regression using Python – Part 1
In this blog, we will be predicting NBA winners with Decision Trees and Random Forests in Scikit-learn.The National Basketball Association (NBA) is the major men’s professional… Read More »Predicting NBA winners with Decision Trees and Random Forests in Scikit-learn
Throughout history, the technological advances have raised fears that traditional jobs will become obsolete. In this post, I find out the jobs which are most… Read More »Jobs which are most susceptible to automation
