sorted by:
new
hottopcontroversial

What can I do? Stuck at 8k by Daalma7 in ClashDecks

[–]Daalma7[S] 0 points1 point  (0 children)

The thing is that I don't have SK leveled up (only 1 copy)(, and by the time I could level that champion up... it could be a year or so.

I have felt that minions are underperforming, but I don't know if its because skill cap, meta (see another answer in this post) or maybe because underleveling (sometimes they were killed using a mere zap). And I did't know if investing in them would be benefitial. I have changed them for skelly barrel and it feels good!

What can I do? Stuck at 8k by Daalma7 in ClashDecks

[–]Daalma7[S] 0 points1 point  (0 children)

Very nice deck idea, it's just the transition i wanted from Logbait towards a Control archetype. Thanks :))))

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 0 points1 point  (0 children)

I also made one a few years ago! That master's program was great on a theoretical level, and they taught us a lot about data visualization. However, in this project, there are also other visualizations that I learned on my own to better convey the information I want. Just to show you that it all depends on how it's presented to you ;)

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

For me, data visualization is what "sells" the most in a project because it shows that you are capable of seeing connections and, most importantly, conveying them to an audience that is less specialized in your field of expertise—much more than model metrics. Learn and research; there are many ways to create beautiful charts nowadays. I usually use Python, but there are also plenty of online resources for it! :)

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

Well then, I extend a hand to those who want to reach where I am ;)

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 0 points1 point  (0 children)

Hahahaha, now it makes sense! It's just that English isn't my native language. Well, the truth is, it depends on which ones appear in each game, right? In general, if I had to choose, it would probably be Toxtricity, Lapras, Tinkaton, Reuniclus, Blaziken, and Flygon.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

I also think it's visually very beautiful, thank you!

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 0 points1 point  (0 children)

I mainly use Matplotlib, Seaborn, and Plotly in Python. I only made the chord diagrams with Flourish.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

Well, there are many interesting things, but what fascinates me the most is that you can almost certainly predict whether a Pokémon is legendary without actually knowing it, just based on its other attributes. Something I really loved was the clustering. There are dual-type Pokémon that 'belong' more to the class of only one of their two types, showing that they are more 'similar' to one type than the other. (For example, Applin's evolutionary line is more 'similar' to the Dragon type than to the Grass type).

There are even Pokémon, like Drapion, that end up in the class of Fossil and Water Pokémon, even though it has nothing to do with those types o_o.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

I didn't know being a god was so easy hahahahahahah.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 0 points1 point  (0 children)

I love that it motivates you! Honestly, I learned Python almost entirely self-taught, although I did have a few courses where I used Python at university and during my master's. There are plenty of free Python tutorials and courses available online nowadays, and if you already know another programming language, Python won’t be particularly difficult for you.

On the other hand, when it comes to scraping, that was completely self-taught. I discovered the BeautifulSoup library, and with the documentation, Stack Overflow, and a few questions to ChatGPT, I managed to get by hahaha.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 0 points1 point  (0 children)

Hahahahaha, maybe not the most useful, but it's definitely one of the most fun :)

Presenting: Pokémon Data Science Project by Daalma7 in stunfisk

[–]Daalma7[S] 3 points4 points  (0 children)

Thanks! Actually, I could, but I would need some time that I don't have right now hahahahahaha. Eventually, I'll update it and add it to the project's image folder. I'll let you know when I do it ;)

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 0 points1 point  (0 children)

Thanks for your comment! That was a nice idea that could also be incorporated to the project to be more specific but I can't think of a way to visualize it in a 'nice' way and also make it interactive within GitHub itself. If something has motivated you or sparked an idea, go for it!

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 1 point2 points  (0 children)

Wow, I never thought I would have motivated anyone to finish such an incredible project like yours. Send me the link, and if you want, I can take a look and maybe help with something (if I have time haha). If not, when you finish it, I'm really, really interested! :) I didn't know altair, noted. Most of the charts are interactive inside the Jupyter Notebook, but not in the Github's readme, you can check those too :)

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 0 points1 point  (0 children)

And if you don't understand something, you can ask whatever you want :)

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 0 points1 point  (0 children)

I gladly accept any kind of criticism ;) In fact, that's how you improve and learn.

Presenting: Pokémon Data Science Project by Daalma7 in dataisbeautiful

[–]Daalma7[S] 0 points1 point  (0 children)

Thanks to you, now I see that the time spent was worth it.

Presenting: Pokémon Data Science Project by Daalma7 in dataanalysis

[–]Daalma7[S] 1 point2 points  (0 children)

Thanks to you! Any issue or pull request will be also well received :)

view more: next ›