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xgboost #machinelearning #mathematics #dataanlysis #datascience #machinelearning
2:23
YouTubeDataMListic
xgboost #machinelearning #mathematics #dataanlysis #datascience #machinelearning
📚 *RECOMMENDED BOOKS TO START WITH MACHINE LEARNING* If you're new to ML, here are the 3 best books I recommend (I've personally read all of these): 1. Hands-On Machine Learning – the go-to practical ML guide: https://amzn.to/3UcGqSS 2. Mathematics for Machine Learning – deep dive into the theoretical aspects of ML: https://amzn.to ...
已浏览 1134 次4 天之前
XGBoost Python Tutorial
Why Do 90% of Kaggle Winners Use THIS Algorithm? 🏆
1:20
Why Do 90% of Kaggle Winners Use THIS Algorithm? 🏆
YouTubeNashit Babber
已浏览 272 次2 天之前
Machine Learning Full Course In 10 Hrs | Machine Learning Full Course For Beginners | Simplilearn
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YouTubeSimplilearn
已浏览 1167 次3 天之前
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bilibili罗永浩的十字路口
已浏览 4941 次2 天之前
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El estudio probó y comparó tres enfoques de modelos de ensamble—bagging (RF), boosting (XGBoost) y stacking (gcForest)—utilizando 25 factores ambientales y topográficos. El análisis determinó que la altitud, la distancia a los ríos y las residencias, y el uso del suelo son los elementos más influyentes en la ocurrencia de deslizamientos. #randomForest #XGBoost #boosting #stacking
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El estudio probó y comparó tres enfoques de modelos de ensamble—bagging (RF), boosting (XGBoost) y stacking (gcForest)—utilizando 25 factores ambientales y topográficos. El análisis determinó que la altitud, la distancia a los ríos y las residencias, y el uso del suelo son los elementos más influyentes en la ocurrencia de deslizamientos. #randomForest #XGBoost #boosting #stacking
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El estudio probó y comparó tres enfoques de modelos de ensamble—bagging (RF), boosting (XGBoost) y stacking (gcForest)—utilizando 25 factores ambientales y topográficos. El análisis determinó que la altitud, la distancia a los ríos y las residencias, y el uso del suelo son los elementos más influyentes en la ocurrencia de deslizamientos. #randomForest #XGBoost #boosting #stacking
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El estudio probó y comparó tres enfoques de modelos de ensambl…
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YouTubeAlgorithmic Web
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bilibili罗永浩的十字路口
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