Add answer key for Machine Learning (FIFA) workshop#649
Open
beagandica wants to merge 1 commit into
Open
Conversation
Complete Python/Jupyter notebook code for FIFA player rating prediction: - Setup: pandas, numpy, matplotlib, sklearn imports - Data loading: pd.read_csv with FIFA 2019 dataset - Preprocessing: position filtering (ST), histogram, train_test_split - Feature selection: Pearson correlation, top 20 features extraction - Model training: LinearRegression with ~98.75% R-squared score - Model testing: predictions with ~1-3% error margin - Sample results table with expected player predictions - Extension ideas for teachers (different positions, targets, ratios) English only (no translations). 10-model QA passed (3 clean passes). Hugo build verified. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
beagandica
force-pushed
the
content/answer-key-machine-learning
branch
from
79658d6 to
f377349
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Complete Python code for the FIFA Player Rating Prediction workshop using linear regression.
Changes
New file: \content/english/machine-learning/answer-key.md\
Full Jupyter notebook workflow: imports, data loading, preprocessing (position filter, histogram, train/test split), feature selection (Pearson correlation), model training (LinearRegression, ~98.75% R²), testing with sample results table, extension ideas for teachers.
Languages affected
Testing