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 glmnet, xgboost 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.
This is a live online event
This is an AlphaZetta public live online course – group discounts are available : 10% for 2–4 people, 20% for 5 or more people. Discounts are calculated during checkout.
Individuals who want to book 2 or more courses can obtain discounts by booking via the Data Analyst Curriculum. Refer to the course page above or contact us for more information.
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