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This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers.

Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models.

Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques such as glmnetxgboost and random forests. Participants will also use unsupervised learning techniques to explore data and build features.

The course will also cover advanced model-evaluation techniques such as n-fold cross validation, model ensembling techniques and advanced tips and tricks.

Please refer to full course details at https://alphazetta.ai/advanced-machine-learning-masterclass-1/.

Earlybird pricing is available up to two 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.

By booking this course you agree to our terms and conditions.