Advanced Regression

Join us to learn regression algorithms, different regularisation techniques, which models to use when, and how to optimise model performance using hyperparameter tuning.

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Regression DIGITAL SKILL

Learn how to prepare data to build predictive models. Understand different regression algorithms, different regularisation techniques, which models to use when, and how to optimise model performance using hyperparameter tuning.

Regression

  • Regression Model Building

    Linear regression models
    Train models and make predictions
    Regularization techniques - Ridge, Lasso
    Test model output - MSE, MAE, RMSE

  • Regression Algorithms

    K nearest neighbors
    Decision trees
    Random forests
    Support Vector machines
    Optimizing model performance by tuning hyperparameters

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Data skills are the most sought after with some of the highest paid salaries on offer.

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  • Extended Access to Material

    Participants will have extended access to the material that is covered in the course, allowing them to revisit the techniques whenever they choose to.

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Engaging, interactive and entertaining learning

At EXPLORE we firmly believe that learning can be fun, even when the content is complex. Our highly experienced course designers are able to share their insights and wisdom through our innovative learning platform and video-first approach. Take a look at what you can expect when joining us:

  • Python Programming

    Programming in Python makes using you data simple & easy, get a feel for how you'll master this art

  • Regression

    Get a taste of you'll learn these data skills with our passionate scientists

  • Unsupervised Learning

    Once you've mastered Regression, sign-up for our Unsupervised Learning Digital Skill to add to your impressive portfolio

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    Make one payment, we do the rest!

  • Pay as you Learn

    Monthly payments unlock your next module of learning.
    Fees payable in advance each month
    Seamless payments by automated deductions
    Make one payment, we do the rest!

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