Statistical Techniques Data Scientists Need to Master
Somewhere between 40 and 60 percent of data science is dealing with stuff like &quot;some of the people collecting the data used 1 for yes and 0 for no, and some of them used &#x27;Y&#x27; for yes and &#x27;N&#x27; for no, and some misread the question and put in numbers, your job is to figure out which 1s mean yes and which mean that the data is bad,&quot; and you can go your entire career in data science without ever using a SVM. But sure, let&#x27;s have yet another article on methods.