August 22, 2019
9:00 am - 5:00 pm
Duration: Full Day Course
Getting started with advanced analytics and machine learning can be intimidating. Where do I start? How much math do I need? What algorithms should I use? The good news is that getting started with machine learning is easy – no really, it is!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers.
With this understanding you'll be equipped to tackle the next topics: data analysis and feature engineering. We'll wrap up the day discussing how to determine if your model is any good. Lastly, we want to send you off with a road map of suggested topics to take on as you continue your data science journey.
Participants should download and install the following prior to the event:
Instructions will be emailed to registrants prior to the event to prepare your laptop BEFORE the conference. There is no time allotted in class for laptop preparation.
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