How misuse of Big Data, Machine Learning and Python can make your work inefficient

Making mistakes is part of the learning process, and probably there is no way to avoid it. The important thing is to make sure we don’t make the same mistake twice. This is not possible if we don’t even know we are making a mistake.

In the sequel, I discuss three common mistakes regarding the use of data science tools and practices. These mistakes make your work inefficient and may cause unnecessary charges.

Using Big Data tools when the data is not “big”

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A few years ago I joined a company and found out that they had paid $80K to IBM to build them an on-premises Hadoop cluster. What were…


Find top-rated movies, series and episodes using these interactive dashboards

Photo by Stephen Dawson on Unsplash

I find the IMDB ratings pretty accurate most of the time, and if somebody suggests a movie or series to watch, I usually check its IMDB rating to see whether it’s worth the time. Although there are lists of top-rated movies and series available in IMDB website which are helpful for finding good movies or series to watch, but the filters available for these lists are limited. For example if you want to filter by year and find the best series in the last two years, you cannot do that. Also you cannot apply a minimum number of votes to…


Python and JavaScript Battling for the Crown

Image by ILLUSTRIS

There has never been a unanimous agreement on what the most popular programming languages are, and probably never will be. Yet we believe that there is merit in trying to come up with ways to rank the popularity of programming languages. It helps us to see the trends over time and gives us hints as to what to focus on. In the ever-changing world of technology, it is important to stay ahead of the curve.

The analysis that follows is on data from Stack Overflow (SO). The SO website is arguably the biggest and the most popular Q&A website in…

Vahid Vaezian

Data Expert | intellimenta.com

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