Regression 2: on >1 Variable, Comparing Regression Methods

This more hands-on stream introduces participants to truly predictive analytical techniques for continuous variables such as asset prices and consists of two.


Tech Analysts, S&T Analysts (optionally).

Learning Outcomes

• Extend the single-variable regression model covered in DS333 to multiple variables
• Build a simple model using census data and other independent variables to predict house prices
• Evaluate the effectiveness of the model and suggest ways it can be improved

Course Content

• Introduction to dependent and independent variables
• Extending the regression model to multiple variables
• Walkthrough of house price prediction using TensorFlow

    • Preliminary Analysis of dataset
    • Build and evaluate model

• Discussion: How can we apply this to asset prices?
• Plan how you would implement for an asset class of choice


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We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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We are focused on mining the embedded organisational intellectual capital for the benefit of the next generation. We create and curate best in class practice gathered from our experience with the leading financial institutions. We design our programmes with the end in mind – what results are you trying to achieve with this intervention? What metrics will we set ourselves to achieve that?

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