Course curriculum

    1. 0.1 Welcome Screen

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    2. 0.2 - How to use the Actuartech platform

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    3. 0.3 How to get set up

    4. 0.4 - A User Guide for Jupyter Notebooks

    5. 0.5 - Other ways to code in Python

    6. 0.6 - Software and package requirements

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    1. 1.1 - Introduction

      FREE PREVIEW
    2. 1.2 - Business Context

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    3. 1.3 - Further Reading and References

    1. 2.1 - Python Libraries

    2. 2.2 - Overview of the Data

    1. 3.1 - Setting up Train and Test Splits (Old)

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    2. 3.1 - Setting up Train and Test Splits

    3. 3.2 - The 'Dummy' Estimator

    4. 3.3 - The 'Dummy' Estimator with Scikit-learn

    5. 3.4 - Automating the Process

    6. 3.5 - The Generalised Linear Model

    7. 3.6 - Random Forest Model

    1. 4.1 - Visualisations

    2. 4.2 - Conclusion

    3. 4.3 - Next Steps

    1. Machine Learning Reference Matrix

About this course

  • £325.00
  • 23 lessons
  • 0 hours of video content