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 case. Along with an increasing or decreasing trend, most time series have some form of seasonality trends, i.e. variations specific to a particular time frame. […]
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 values for the United Health Group from 2016 up to present day. UnitedHealth Group Incorporated is an American for-profit managed health care company based in Minnetonka, […]
The following are the principles of good visualization by Andy Kirk: Good data visualization is trustworthy: Truthfulness and accuracy should be an obligation. Trustworthiness is about being transparent giving readers all the information they need in order to feel confident about what they are reading and what interpretations are legitimate. Good data visualization is accessible: […]
360 Degree View is not only for analytics that gives insights into customer behaviour. It also provides guidance on how to engage, develop trusted relationships, solve customer problems and eventually upsell or cross-sell by enabling to zero in on what a particular customer needs and not spend time searching for information. 360 Degree View is […]
5-ends model is the means through which the company can develop a sales strategy, roadmap and invest in new capabilities to differentiate and gain new customers and help their business change. The tools needed to support business change are as follows: Intend is product-based and requires a basic form of communication such as email, phone […]
References for the project C. Aditya and M. S. Pande. Devising an interpretable calibrated scale to quantitatively assess the dementia stage of subjects with alzheimer’s disease: A machine learning approach. Informatics in Medicine Unlocked, 6:28–35, jan 2017. ISSN 2352-9148. doi: 10.1016/J.IMU.2016.12.004. V. Alves, R. Braga, E. Muratov, C. Andrade, V. M. Alves, R. C. […]
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 user-friendly web application contribute to supporting an end-to-end pipeline to predict the stages of Alzheimer’s disease. This is a continuation from here. Further, the practical application, use of libraries, software […]
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 the prediction and remove irrelevant features that negatively impact the performance of the model. It helps to reduce overfitting and training time while improving performance. It is also an important […]
