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Domain: towardsdatascience.com Added: 2025-08-28 Status: βœ“ Success
towardsdatascience.com
Introduction Based on these two factors, I’ve decided to do an exploration of how different decision tree hyperparameters affect both the performance of the tree (measured by factors such as MAE, RMSE...
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Decision Trees in Python: Predicting Diabetes - Statistically Relevant
https://statisticallyrelevant.com/decision-trees-in-python-predicting-diabetes/
Decision Trees in Python: Predicting Diabetes In this post, we’ll be learning about decision trees, how they work and what the benefits are for using ...
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Quan Sun on finishing in second place in Predict Grant Applications
https://medium.com/kaggle-blog/quan-sun-on-finishing-in-second-place-in-predict-grant-applications-3770a0bedaad?source=rss----4b0982ce16a3---4
Quan Sun on finishing in second place in Predict Grant Applications I’m a PhD student of the Machine Learning Group in the University of Waikato, Hami...
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Max Lin on finishing second in the R Challenge
https://medium.com/kaggle-blog/max-lin-on-finishing-second-in-the-r-challenge-520a7d785beb?source=rss----4b0982ce16a3---4
Max Lin on finishing second in the R Challenge I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I u...
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Writing an LLM from scratch, part 22 -- finally training our LLM!
https://www.gilesthomas.com/2025/10/llm-from-scratch-22-finally-training-our-llm
Writing an LLM from scratch, part 22 -- finally training our LLM! This post wraps up my notes on chapter 5 of Sebastian Raschka's book "Build a Large ...
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Marginal Effect of Hyperparameter Tuning with XGBoost
https://towardsdatascience.com/marginal-effect-of-hyperparameter-tuning-with-xgboost/
Through my work building XGBoost models across different projects, I came across the great resource Effective XGBoost by Matt Harrison, a textbook cov...
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Stepwise Selection Made Simple: Improve Your Regression Models in Python
https://towardsdatascience.com/model-selection-in-linear-regression/
To get the most out of this tutorial, you should already have a solid understanding of how linear regression works and the assumptions behind it. You ...
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A Refined Training Recipe for Fine-Grained Visual Classification
https://towardsdatascience.com/a-refined-training-recipe-for-fine-grained-visual-classification/
1. The problem: We needed a system that could identify specific car models, not just β€œthis is a BMW,” but which BMW model and year. And it needed to r...
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Estimating from No Data: Deriving a Continuous Score from Categories
https://towardsdatascience.com/estimating-from-no-data-deriving-a-continuous-score-from-categories/
It has proven trivial to train a neural net to predict one of the three outcomes from the 8 features with almost complete accuracy. However, the healt...
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How to Benchmark Classical Machine Learning Workloads on Google Cloud
https://towardsdatascience.com/benchmarking-classical-machine-learning-workloads-on-google-cloud/
Why Classical Machine Learning Still Matters In an era of GPU supremacy, why do real-world business cases depend so much on classical machine learning...
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Deep Neural Nets: 33 years ago and 33 years from now
http://karpathy.github.io/2022/03/14/lecun1989/
Deep Neural Nets: 33 years ago and 33 years from now The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is...
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