Jason Brownlee

Research Scientist | Software Engineer | Quake archivist.
Sold @TeachTheMachine in 2021
Playing with: @SuperFastPython | @XGBoostAwesome | @ScikitLearn

[Jason Brownlee @jason2brownlee]

Awesome LLM Books (1K+ stars!)
A curated list of books on Large Language Models
https://t.co/8rvZNRQNNF

[Jason Brownlee @jason2brownlee]

@EricJorgenson carmack

[Jason Brownlee @jason2brownlee]

Archive of all official Quake releases: https://t.co/Ftduvm8HxD

[Jason Brownlee @jason2brownlee]

@ACarmackArtist Please consider releasing a book of quake art!

[XGBoosting @XGBoostAwesome]

XGBoost Feature Importance with SHAP Values
https://t.co/ooFKkEDh1Q

#XGBoost #DataScience #MachineLearning

[SKLearner @SciKitLearn]

Configure ExtraTreesRegressor "ccp_alpha" Parameter
https://t.co/s5V2CpzRqS

#SciKitLearn #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost Early Stopping With Grid Search
https://t.co/zgJYh5KIuM

#XGBoost #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost CPU Usage Below 100% During Training
https://t.co/v4NM8Me9pQ

#XGBoost #DataScience #MachineLearning

[SKLearner @SciKitLearn]

Configure ExtraTreesClassifier "ccp_alpha" Parameter
https://t.co/WTbwIh1JKx

#SciKitLearn #DataScience #MachineLearning

[SKLearner @SciKitLearn]

Configure BaggingRegressor "n_estimators" Parameter
https://t.co/3wZ45oCJ9g

#SciKitLearn #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost Compare "n_jobs" vs "nthread" Parameters
https://t.co/jhxpJXKlaJ

#XGBoost #DataScience #MachineLearning

[Super Fast Python @SuperFastPython]

The website https://t.co/Fq1aYnYoNN has shut down.

Why? I don't see the need for the books and tutorials, given the era of LLMs.

RIP https://t.co/Fq1aYnYoNN, November 2021 to March 2026.

[SKLearner @SciKitLearn]

Scikit-Learn TruncatedSVD Model
https://t.co/Q8jPELFUhr

#SciKitLearn #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost Confidence Interval using k-Fold Cross-Validation
https://t.co/0BUuMehd2D

#XGBoost #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost Comparing Models with Box Plots
https://t.co/wGiVtr7FM1

#XGBoost #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

Tip: Leverage XGBoost’s automatic handling of missing values by splitting the data along optimal paths for both present and missing values.
#XGBoost #DataScience #MachineLearning

[SKLearner @SciKitLearn]

Scikit-Learn TSNE Model
https://t.co/5RmTO5lC62

#SciKitLearn #DataScience #MachineLearning

[SKLearner @SciKitLearn]

Scikit-Learn SpectralEmbedding Model
https://t.co/1emQAviajF

#SciKitLearn #DataScience #MachineLearning

[XGBoosting @XGBoostAwesome]

XGBoost Configure Multiple Metrics With "eval_metric" Parameter
https://t.co/vPtumma2CQ

#XGBoost #DataScience #MachineLearning

[Super Fast Python @SuperFastPython]

Asyncio Shield Main Coroutine From Cancellation
https://t.co/99GVBK9zoW

#Python #Concurrency

[XGBoosting @XGBoostAwesome]

Which XGBoost Feature Importance to Use
https://t.co/HMLJwLWJiB

#XGBoost #DataScience #MachineLearning