Stellar the 30% of this book explaining basic data science stuff like regression, decision trees, lifts, gains , profit curves as well as how datascieStellar the 30% of this book explaining basic data science stuff like regression, decision trees, lifts, gains , profit curves as well as how datascience solves real world problems (costumer churn) and all the stages of devising such a solution.
The problem afterwards is that it got quite verbose, a lot of text sprinkled with some (not many though) formulas and for me it got quite confusing and unnerving.
I was expecting more on the implementation part to be able to see the stages of deployment of data science models and the results but it wasn't to be.
There was just too much text talking about the formulas and the variables and i think this was worse than having more of said formulas.
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