dm24s1

Continuing our review of Exploratory Data analysis, we consider richer analytics on data, leading to identification of features for prediction

EDA Pass2 3
Overview of Exploratory Data Analysis (EDA) concepts and techniques
- EDA Process
- Datasets = Tips, Titanic and Algae Blooms
- Identifying and resolving issues (missing value, outliers)
- Generating ToDo list for Feature Engineering/Transformation/Selection
- Handout
- Presentation
practical
Interactive visualisations of data
Use ipywidgets and seaborn to generate rich and flexible visualisations
- Open