As the world becomes increasingly data-driven, a growing number of professionals are working more closely with data. In many cases, the first introduction to this domain comes in the timeless form of…
It’s Monday morning and I’m channeling my inner Jeremy Howard (again). Over the last few months, I have seen plenty of facial recognition guides and some of them are really quite good. The problem…
Linear regression is probably the first statistical approach that you’ll ever encounter when you’re learning data science and machine learning. So, I’d take my chance to guess that this is not the…
When you look at technical job ads these days, many require some knowledge about Amazon Web Services. Regardless of whether you are a programmer, data scientist, data engineer, DevOps, database…
This article identifies the most common mistakes prospect data scientists make and discuss how to avoid them. Without further ado, let’s jump straight into it. Pandas is a library frequently used by…
Lately, I have been seeing an increasing number of developers on Github with a profile level README.md, and I wanted to create the same thing. I saw this as another opportunity to communicate what I…
How many types of customers are there on the market? How many types of players are there in the NBA? How many types of students are there in the Ivy League schools? There are many questions in real…
NASA earth data is an invaluable resource for earth scientists, hydrologists and essentially anyone interested in using earth data (e.g., precipitation, temperature etc.) for education, analysis…
Many know that R allows one to write one’s own functions, but not everyone applies this opportunity in practice. In fact, R has plenty of built-in functions that will satisfy someone’s needs in doing…
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