Image by Shafin Al Asad Protic from Pixabay

Data science requires a plethora of data so every good data scientist should know how to pull data for free from the internet. Whether you are scraping tables from Wikipedia or pulling prices off of a retail site, there are a few simple ways to accomplish this. Anything you can see with your eyes while browsing the internet you can scrape.

The flow is rather simple. I use selenium or requests as packages to scrape.

Here we’ll use this website:

Photo by Pixabay from Pexels

Peeking: Why you should never do it!

Imagine the following case. You did some analysis and found a huge difference between two groups that could potentially lead to some big wins for your team. The first group converts at 65% while the other group converts at 40% on average. That a 37.5% gain!

How machine learning models can alter societal behaviors

Trefoil Knot, is an impossible knot with no known origin

Yesterday, one of the data scientists that had just joined my team asked me a question. His question was linked to a very specific problem at our company, but the implications of the answer is much deeper than that. He asked:

The current model in production determines whether or not we’ll return a call to a lead based on a given set of features. If the previous model determined that certain features indicate we should never call a lead, then those features are now highly correlated with the outcome since we only called those leads back. …

A short read on the psychological impacts of app design, data science, and the humans predisposition for being conditioned.

Before I jump in, let me ask you some questions. How often are you on your smartphone? Do you sometimes find yourself opening Facebook, YouTube, or Instagram for a spare second between tasks and end up spending more time than you meant? Have you ever found yourself reloading the feeds to see if something better just got posted? Have you ever closed a Facebook tab only to open it a few minutes later?

Be honest about those questions since only you who needs to know, and I didn’t even ask about Tinder or porn.

According to announcements by Facebook, users…


Imagine freezing your body after death in the hopes science will one day be able to revive you. This, as most of us know, is called cryonics. Let’s imagine that in the future they can do this by scanning your neural connections, and then, they recreate that in a new body or program. My question is, are you actually back?

Obviously, the terminology is going to be fuzzy, but let’s try anyways. …

Flashy tech articles in the news today would have you believe that the alarming attributes of AI is that, one day, machines might become cognizant and do away with humans. That somehow the code, written for specific tasks, will end up creating a black box which gives rise to consciousness (whatever that is), and machines, built for human specific functions, will evolve into something greater. …

David Blaszka

Data scientist at Varsity Tutors

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