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.
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