Here’s what I’ve learned so far…
Nowadays, I see a lot of challenges such as #66DaysOfData and #90DaysOfCoding, and the success stories of people challenged themselves to learn anything from scratch in such a short period of time. With so many options, it can be even more challenging to pick the right challenge or create yourself. I decided to create the hardest challenge I could ever imagine: Creating a dataset using pure Web Scraping every single day for 5 days. Here’s the rules:
- Importing a Kaggle dataset is not allowed.
- API access is forbidden too.
- No fancy Python packages, there…
If you haven’t read my previous article, go check it out:
Now that we have a clean data ready to be explored, let’s proceed with the real fun stuff.
That’s just the tip of the iceberg. Here’s a full guide of iceberg.
Nowadays, it is a quite popular belief that a perfect Data Scientist is a Kaggle grandmaster with golden medals at every competition he/she attends. I do not disagree that being a Kaggle grandmaster is not an easy thing to do. In fact, there are nearly 150k Kagglers out there in the world and only a 0.1% portion of these are grandmasters with a lot of golden and silver medals in many different areas at the same time. …
“And mostly all I have to say about these songs is that I love them, and want to sing along to them, and force other people to listen to them, and get cross when these other people don't like them as much as I do. ”
-Nick Hornby
We all have experienced this situation necessarily: A friend who listens to the same kind of music suggests a song and we don’t like it at all, or someday you cool down from your favorite genre and start listening to music that has nothing to do with your taste. …
Yamac Ay
Life Enthusiast
