程序代写代做代考 COSI 126A: Final Project

COSI 126A: Final Project
Due by Dec. 3th

1 Overview – PUBG Finish Prediction on Kaggle

So, where we droppin’ boys and girls?
Battle Royale-style video games have taken the world by storm. 100 players are dropped
onto an island empty-handed and must explore, scavenge, and eliminate other players until
only one is left standing, all while the play zone continues to shrink.
PlayerUnknown’s BattleGrounds (PUBG) has enjoyed massive popularity. With over 50
million copies sold, it’s the fifth best selling game of all time, and has millions of active
monthly players.
The team at PUBG has made official game data available for the public to explore and
scavenge outside of “The Blue Circle.” This competition is not an official or affiliated PUBG
site – Kaggle collected data made possible through the PUBG Developer API.
You are given over 65,000 games’ worth of anonymized player data, split into training and
testing sets, and asked to predict final placement from final in-game stats and initial player
ratings.
What’s the best strategy to win in PUBG? Should you sit in one spot and hide your way
into victory, or do you need to be the top shot? Let’s let the data do the talking!
Your task will be using the given data on Kaggle to predict users’ finish placement.

2 Team-Up

Please submit your team name and team members at the link given in LATTE before Oct.
29. The number of team members is up to 5. Larger groups are expected to have a higher
score on Kaggle. Register on Kaggle.com and build a team. Your team name should be the
same as your team name on Kaggle.

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3 Final Deliverables

3.1 Kaggle Submission

You need submit your result on Kaggle before Dec. 3. We will collect your result on Kaggle
based on your team name right after due time. Submissions after that will not be counted.

3.2 Write-Up

Your project write-up is due Dec. 3. It should be in PDF format and submitted on LATTE.
It should be 5-10 pages long and include the following elements:

• Team Name, Member names

• Idea summary

• Implementation details

• Results and analysis

• What worked? What didn’t work? What surprised you along the way?

• Individual Contribution(what does each team member do, how do you split your works)

3.3 Code

Please submit code demonstrating how to execute your work on LATTE.

4 Grading

Your grade will be decided by your score(performance) on Kaggle, the quality of your report
and your presentation.

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