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Scaling Kaggle Competitions Using XGBoost: Part 4

PyImageSearch

JANUARY 23, 2023

The reasoning behind that is simple; whatever we have learned till now, be it adaptive boosting, decision trees, or gradient boosting, have very distinct statistical foundations which require you to get your hands dirty with the math behind them. First, let us download the dataset from Kaggle into our local Colab session.

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Large Language Models: A Complete Guide

Heartbeat

MAY 29, 2023

The weak models can be trained using techniques such as decision trees or neural networks, and the outputs are combined using techniques such as weighted averaging or gradient boosting. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data.

Machine Learning

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Scaling Kaggle Competitions Using XGBoost: Part 4

Large Language Models: A Complete Guide

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