Fantasy-Premier-League
system-design-primer
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| Fantasy-Premier-League | system-design-primer | |
|---|---|---|
| 53 | 380 | |
| 1,329 | 253,398 | |
| - | - | |
| 7.8 | 0.0 | |
| 11 days ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Fantasy-Premier-League
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How to get GW-by-GW stats of an older season from the Vaastav repo?
Hello guys, I am using the FPL historic data in this repository to build a points prediction ML model for my personal use, just as a side project : https://github.com/vaastav/Fantasy-Premier-League
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FPL ML project
I recently got interested in machine learning and completed a few courses on it; I now want to do a project and create an Fpl predictor, which predicts the best players to pick for the next game week. I was wondering if there is any advice one could get, especially regarding which features to look at, as I am entirely new to this space. So far, I've been looking through this dataset on GitHub https://github.com/vaastav/Fantasy-Premier-League trying to predict total points for each gw, but if anyone has any other suggestions or advice, I would really appreciate it :)
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Top Player Value scatter plot over the last 10 games.
A scatterplot of the weighted average of points(y-axis) in the last 10 matches over player valuation(x-axis). Source of data https://github.com/vaastav/Fantasy-Premier-League/tree/d6c561b1b1a38b0426ce978346c44d66c54eb4e1
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No Haaland All Season
https://github.com/vaastav/Fantasy-Premier-League cheers!
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I've made a guide to the FPL API
Great GitHub repository of this by vaastav
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FPL API: Is Detailed Historical Player Data Available?
This is what you are looking for: https://github.com/vaastav/Fantasy-Premier-League
- Historic player form data by goalweek
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Machine learning mode
Regarding the data: Actually I’m already after this phase. I got current season data (players summary and players by GW) by using the FPL API and I got the historical data from vaastav repository on github: https://github.com/vaastav/Fantasy-Premier-League
- Excel Data analysis
- 2021 2022 Fantasy Premier League FPL Player Data by Match
system-design-primer
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10 GitHub repositories that every developer must follow
✅ donnemartin/system-design-primer: https://github.com/donnemartin/system-design-primer
- FAANG - Guia Descomplicado de Entrevistas - parte 2
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10 GitHub Repos to Become a Better Backend Developer
View on GitHub
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[Need Recommendation] System design concepts based repos that provide bird's-eye-view
I've been giving interviews for past couple of months and this github repo has helped me so much for system design perspective and I can see myself excelling at interviews. - https://github.com/donnemartin/system-design-primer
- GitHub – system-design-primer: Learn how to design large-scale systems
- FLaNK Stack Weekly for 30 Oct 2023
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Getting ACL surgery in two day and pretty nervous.
You'll be on opiod's probably the first 1-2 days, so sleeping should be fine. Everything will be allright, don't worry too much. Just use the time now to prepare for the time after, make sure you go through post-surgery-essentials thread. Once you are out of the OR you won't have the energy to think about those details, so make sure you take that prep serious.
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Tool decision - What architecture would you choose and why?
Tooling isn’t architecture. Figure out what you need to handle both personas and volume/throughput and then lay out the capabilities you’ll need. As you lay out points of ingress, egress, consumption you can start to lay out sequences(think in persona and sequence diagrams to express interactions between services). Lastly, evaluate tools that offer some of these capabilities and weigh the trade-offs (there are always trade-offs: https://github.com/donnemartin/system-design-primer).
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Is there an EU country which I might work there being an average non-EU developer
[1] https://github.com/donnemartin/system-design-primer [2] https://www.teamblind.com/post/My-Approach-to-System-Design-V4SJARdx
What are some alternatives?
fplscrapR - This package enables those interested in Fantasy Premier League to perform detailed data analysis of the game, using the FPL's JSON API. The fplscrapR functions help R users collect and parse data from the Official Fantasy Premier League website.
Grokking-the-Coding-Interview-Patterns - This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems. [UnavailableForLegalReasons - Repository access blocked]
FPLbot - A bot made for /r/FantasyPL
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
fantasy-again - A web app that allows you to replay the 2020/21 season of Fantasy Premier League (FPL) in single-player mode.
machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
datapane - Build and share data reports in 100% Python
interview - Everything you need to prepare for your technical interview
fpl - An asynchronous Python wrapper for the Fantasy Premier League API.
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
open-fpl - Open-source Fantasy Premier League tools
manim - Animation engine for explanatory math videos