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Explore the many unique applications and extensions of the randomForest package, many of which are implemented in R, so you can easily solve problems not susceptible to other methods, including deep learning.

Learn about the random forest algorithm and a wide range of its applications in areas including fraud, risk and outlier detection, along with associated packages and extensions that enable visualisations and other features. You’ll also learn how to address the common challenge of dealing with small data sets and classes.

Please refer to full course details at https://alphazetta.ai/advanced-machine-learning-masterclass-2/

Earlybird pricing is available up to 2 weeks prior.

This is an AlphaZetta public course – group discounts are available and also apply during the earlybird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.

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