Section outline

    • Lecture-5

    • Dataset pre-processing and simple linear regression

    • Learning Objectives

      • Understanding and demonstration of the dataset preprocessing techniques
        • Importing libraries and dataset
        • Taking care of missing data
        • Encoding categorical data
        • Splitting the dataset into the training set and test set
        • Feature scaling
      • Understanding and demonstration of the linear regression algorithm
        • Importing libraries and dataset
        • Preprocessing of the dataset
        • Predicting using linear regression
        • Visualizing the results

    • Students must
      Mark as done

      Resources of learning

    • Class video

    • url icon
      Class video - 06/12/2021 (Section: A) URL
      Not available unless: You belong to A
    • url icon
      Class video - 08/12/2021 (Section: B) URL
      Not available unless: You belong to B
    • url icon
      Class video - 09/12/2021 (Section: C) URL
      Not available unless: You belong to C
    • url icon
      Class video - 07/12/2021 (Section: D) URL
      Not available unless: You belong to D