When I first started out my career as a data scientist, one of the tools I kept getting recommended is Anaconda. It is even said so in the original docs.
There are several use cases in image processing that can be solved if we know the most common color(s) of an image or object is. For example in the field of agriculture, we might want to determine the maturity of a fruit, an orange or strawberry for instance. We can simply check if the color of the fruit falls in a predetermined range and see if it is mature, rotten, or too young.
As usual, we can solve this case using Python plus simple yet powerful libraries like Numpy, Matplotlib, and OpenCV. …
One of the responsible things to do when a year is ending is to reflect on it. What accomplishments you have made, what challenges did you face, what did you learn, and how you can make the remainder of the year count.
One experience that I can definitely share, and hopefully it would be beneficial to readers, is being awarded the 2019 Bertelsmann Tech Scholarship and receive the Deep Learning Nanodegree from Udacity, completely free of charge. …
If you have worked for a company or startup for many years, it is very likely that you have dreaded Mondays. Be it because of a looming deadline(s), annoying co-worker(s), demanding boss(es)/client(s), or because of the nasty traffic caused by construction work for who knows how long. We have all felt something uncomfortable about going back to work after a nice relaxing weekend that makes us roll back into the comfort of our beds and not have a care in the world.
Whenever I want to write Python code, whether it’s for testing or deployment purposes, I will just open up Jupyter Notebook and start writing. And why not, right? It’s free, open-source, and everyone seems to love it (for example).
And if your company wants to deploy your code on their production environment, you can just use Anaconda Enterprise to do it.
In the Bertelsmann AI Udacity Scholarship, the scholars not only have to finish the AI Udacity course, but they also challenge each other to apply the skills and knowledge they collect and practice during the course. One of these challenges is the Chinese Zodiac Sign Classification Challenge. On the occasion of, you know, the Chinese Lunar New Year.
The Chinese zodiac is divided into twelve yearly cycles with each year identified by a particular animal.
I thought this would be an interesting challenge, so I dived right in.
Data visualisation is an important skill when searching and presenting important insights. There are many visuals that can be used to present your data. One of the most interesting data visual is the cloropleth map.
What’s a cloropleth map?
A choropleth map (from Greek χῶρος “area/region” and πλῆθος “multitude”) is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income.
Why is this such an interesting visual? a) it is pretty, b) it tells us the data…
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