Course Description
At the end of this course, student will be able to:
- Handle missing data in the real world data sets by choosing appropriate
methods.
- Summarize the data using basic statistics. Visualize the data using basic
graphs and plots.
- Identify the outliers if any in the data set.
- Choose appropriate feature selection and dimensionality reduction.
- Apply Techniques for handling multi-dimensional data.