How to Win a Data Science Competition (with Honors)
Higher School of Economics
This course rocks! ? I found many tips, tricks and techniques very useful, some of them are a bit challenging to me. exploratory data analysis (EDA) is critical; ensembles are powerful; various kinds of hyper-parameters and metrics optimizations are the devil hides in the detail. A successful machine learning model is more like a piece of fine art – practices are definitely required, but a particular taste is quintessential.
My Certificate
https://coursera.org/share/fecc56afb085dd4d23b8e72864f2d01f
I am Kesler Zhu, thank you for visiting. Checkout all of my course reviews at http://KZHU.ai
