- [OC] I took FBREF data for the big 5 leagues of the last 7 seasons and normalized them for you to compare and explore. https://en.wikipedia.org/wiki/Feature_scaling#:~:text=Feature%20scaling%20is%20a%20method,during%20the%20data%20preprocessing%20step. 3 comments soccer
- [Pointer Report] Jeremy Lin & D'Angelo Russell https://en.wikipedia.org/wiki/Feature_scaling 20 comments nba
- [Pointer Report] Stephen Curry vs. Kyrie Irving https://en.wikipedia.org/wiki/Feature_scaling 39 comments nba
Linking pages
- Scikit-learn’s Defaults are Wrong – r y x, r https://ryxcommar.com/2019/08/30/scikit-learns-defaults-are-wrong/ 150 comments
- Logistic Regression from scratch - Philipp Muens https://philippmuens.com/logistic-regression-from-scratch/ 61 comments
- Machine Learning is Fun! Part 2. Using Machine Learning to generate… | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-2-a26a10b68df3 25 comments
- Announcing AWS Glue DataBrew – A Visual Data Preparation Tool That Helps You Clean and Normalize Data Faster | AWS News Blog https://aws.amazon.com/blogs/aws/announcing-aws-glue-databrew-a-visual-data-preparation-tool-that-helps-you-clean-and-normalize-data-faster/ 19 comments
- Some CUDA programming fun in Julia | Can Candan https://cancandan.github.io/julia/graphics/cuda/2022/05/07/triangles.html 17 comments
- Tessel: A First Look at JavaScript on Hardware - Bendyworks: We are Bendyworks http://bendyworks.com/tessel-first-look-javascript-on-hardware/ 17 comments
- The Method to the Madness: Setting up a Python Workflow for Machine Learning — Steemit https://steemit.com/steemstem/@chosunone/the-method-to-the-madness-setting-up-a-python-workflow-for-machine-learning 7 comments
- Machine learning algorithms explained | InfoWorld https://www.infoworld.com/article/3394399/machine-learning-algorithms-explained.html 7 comments
- Which March Madness Teams are Most Injured? Stats with Sasa https://www.statswithsasa.com/2023/03/14/which-march-madness-teams-are-most-injured/ 3 comments
- The Unsexy Data Science : Cleaning and Labeling Data | by DataTurks: Data Annotations Made Super Easy | DataTurks | Medium https://medium.com/@dataturks/the-unsexy-data-science-cleaning-and-labeling-data-a9849f5761b5 1 comment
- Dissecting a Hybrid Search query in SQL https://cratedb.com/blog/dissecting-a-hybrid-search-query-in-sql 1 comment
- Stock Price Prediction System using 1D CNN with TensorFlow.js-Machine Learning Easy and Fun | by Gavril Ognjanovski | Towards Data Science https://towardsdatascience.com/stock-price-prediction-system-using-1d-cnn-with-tensorflow-js-machine-learning-easy-and-fun-fe5323e68ffb 0 comments
- Intro to Predictive Maintenance on NASA turbofan engine dataset using Machine Learning - 4CDA https://4cda.com/intro-to-predictive-maintenance-on-nasa-turbofan-engine-dataset-using-machine-learning/ 0 comments
- bnomial-archive/questions.md at master · akhildevelops/bnomial-archive · GitHub https://github.com/Enforcer007/bnomial-archive/blob/master/questions.md 0 comments
- An introduction to using artificial neural networks via TensorFlow to predict AFL football game results - 4CDA https://4cda.com/an-introduction-to-using-artificial-neural-networks-via-tensorflow-to-predict-afl-football-game-results/ 0 comments
- Deep learning vs. machine learning: Understand the differences | InfoWorld https://www.infoworld.com/article/3512245/deep-learning-vs-machine-learning-understand-the-differences.html 0 comments
- Fathoming the Deep in Deep Learning – A Practical Approach – thoughtful impressions https://avantlive.wordpress.com/2019/04/29/fathoming-the-deep-in-deep-learning-a-practical-approach/ 0 comments
- Community detection of the countries of the world with Neo4j Graph Data Science | by Tomaz Bratanic | Towards Data Science https://towardsdatascience.com/community-detection-of-the-countries-of-the-world-with-neo4j-graph-data-science-4d3a022f8399 0 comments
- Symbolic vs Connectionist A.I.. As Connectionist techniques such as… | by Josef Bajada | Towards Data Science https://towardsdatascience.com/symbolic-vs-connectionist-a-i-8cf6b656927 0 comments
- Predicting a Quantity with Categorical Features https://danshiebler.com/2021-12-21-counting-features/ 0 comments
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