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Data Mining Basics

Data Mining Basics – EC201


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

– 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?

– 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: