What do Random Forests have to do with Data Analytics? Turns out, a lot. Random Forests is another supervised machine learning algorithm that is commonly used in regression and classification problems. However, Random Forest can handle both categorical and numerical data, as opposed to Linear Regression and K-Nearest Neighbor algorithms which can only handle numerical and categorical data, respectively.
Join us on March 15th at 18:00H CET, where we’ll explore:
✅ How Random Forest works
✅ When and why Data Analysts use it
✅ How the given data needs to be prepared
✅ The best tools to use for the process
All you need to attend is your laptop, a wifi connection and a willingness to step into machine learning mode! All are welcome too, so tell your friends, your family and even your loud-at-times neighbors 📢