Course curriculum

    1. 0.0 - Welcome Screen

    2. 0.1 - How to use the Actuartech platform

    3. 0.2 - Introducing R

    4. 0.3 - How to get set up

    5. 0.4 - A User Guide for Jupyter Notebooks

    6. 0.5 - Other ways to code in R: R Studio

    7. 0.6 - Software and package requirements

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    1. Introduction

      FREE PREVIEW

    2. Outline of the course

      FREE PREVIEW

    1. Video 1.1: Data Selection, Pre-Analysis and Feature Selection

    2. Slides 1.1: Data Selection, Pre-Analysis and Feature Selection

    3. Quiz 1.1

    4. Video 1.2: Making Machine learning interpretable

    5. Slides 1.2: Making Machine learning interpretable

    6. Quiz 1.2

    1. Introduction to unsupervised machine learning algorithms

    1. Live lesson: Profitability and Competition analysis

    2. Slides: Profitability and Competition analysis

    3. Recording: Profitability and Competition analysis

    1. Example: Binning of continuous variable & Data filtering

    2. Hands-on Case Study: Interpreting results of ML Algorithms

    3. Hands-on Case Study: Interpreting results of ML Algorithms (downloadable)

    4. Hands-on Case Study: Detection of interactions between variables

    5. Hands-on Case Study: Detection of interactions between variables (downloadable)

    6. Example: Vehicle Categorization

About this course

  • £300.00
  • 33 lessons
  • 3 hours of video content