Asya Frumkin is a senior algorithm developer, specializing in computer vision and currently working in the field of medical imaging. She comes to DiSCO to talk to us about the data exploration phase in research, which is a crucial element in data science projects. This step allows the data scientist to better understand the data and the task at hand. In this lecture, Asia will introduce different techniques for this step and show us how it can be applied to a medical dataset to predict a cardiac event.

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Subjects:

Why is EDA important? Know your data Analyze your data  *Descriptive statistics  *Visualizations  *Correlations  *Outliers