This paper will be based on theory paper DAC 331. Students will be able to apply and practice the concepts of Data mining.
The practical covers the following topics:
- Review of Python
- Overview of Python tools for Data Analysis
- Python has for data cleaning and processing -- pandas
- Data exploration & analysis libraries for Data Science: Pandas, Numpy
- Open-source software for mathematics, science, and engineering: SciPy
- Data visualization/ plotting library: Matplotlib
- Machine learning library: scikit-learn