Neural networks have revolutionised image processing in several different domains. Among these is the field of medical imaging. In this notebook, we will get some hands-on experience in working with Chest X-Ray (CXR) images.
The objective of this exercise is to identify images where an “effusion” is present. This is a classification problem, where we will be dealing with two classes – ‘effusion’ and ‘no finding’. Here, the latter represents a “normal” X-ray image.
We will see how to model a deep learning network which can classify flowers into “roses” and “daisies”. This is a toy dataset and its purpose is to introduce you to the key concepts and methodologies.
The objective of this notebook is to provide core concepts of Multiple Regression analysis such as correlation and use of RFE for feature reduction
Regression is a handy tool to find relationships between dependent variables and independent variables. However, we cannot always fit a regression line to any given dataset. The objective of this notebook is to provide core concepts of Linear Regression analysis.
Share this Post