Data Mining Basics – EC201

Data

– What to be aware of when collecting the data?
– Why and how to pre-process data?
– When does feature engineering matter?
– Does visualization matter?

Mining
– Is our favorite model good for the task?
– Which technique for which model?
– What are parameters and hyper-parameters?
– How to measure if we mined well?

Basics
– It is good to know what happens inside a black-box…
– The main principles, models and techniques…
– No deep mathematical knowledge required…

– Bring your data or use-case, we will take a look at them…

 

Code: EC201

Duration: 2 days

On demand: trainings@eastcode.sk