Section outline

  • Discussion on data: types of data, quality of data, data preprocessing, and similarity and dissimilarity measures. (Ref.: TB-I [Chapter 2])

    Continuation the lecture on Lesson-5, i.e. data preprocessing. (Ref.: TB-I [Chapter 2])


    Discussion on data exploration: exploratory data analysis (EDA), summary statistics, data visualization, and OLAP and multidimensional data analysis with pandas, numpy, seaborn, matplotlib.