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
Project Summary The project follows the follow steps: Step 1: Scope the Project and Gather Data Step 2: Explore and Assess the Data Step 3:… Read More »Udacity Data Engineering Capstone Project
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… Read More »Classical & Statistical Time Series Modelling of United Health Group’s Stock Price
References for the project C. Aditya and M. S. Pande. Devising an interpretable calibrated scale to quantitatively assess the dementia stage of subjects with… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – References
Discussion The project has fully answered research questions after implementing different machine learning techniques and evaluating the performance of the models. The developed model and… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 10
Use Feature Selection Techniques and Build an Ensemble of Classification Models Feature selection is an automatic or manual process to select features which contribute to… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 9
Fine Tuning of an Ensemble of Classification Models Using Random Grid Search Parameters for a model are learned during the training while hyperparameters are set… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 8
Create a Web-based Application using XGBoost The implementation uses six features which are important to classify the stages of the disease and XGBoost to develop… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 7
