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xgboost 的热门建议

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Predicting Stock Returns Using XGBoost vs CAPM
6:01
YouTubeReadyProj
Predicting Stock Returns Using XGBoost vs CAPM
A complete financial machine learning project that teaches you Predicting Stock Returns Using XGBoost vs CAPM using real stock market data. You will learn feature engineering, time-series modeling, CAPM risk analysis, XGBoost tuning, and financial interpretation — ideal for students building AI-for-Finance, quant analytics, and algorithmic ...
1 天前
XGBoost Machine Learning
76(下)xgboost机器学习联合Shap可解释性建模分析精讲,零基础可学,附代码,带你零基础学生信~
12:33
76(下)xgboost机器学习联合Shap可解释性建模分析精讲,零基础可学,附代码,带你零基础学生信~
bilibili不太会生信哥
已浏览 407 次1 周前
Car Price Predictor — Real-world Used Car Price Estimator (ML + Streamlit)
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Car Price Predictor — Real-world Used Car Price Estimator (ML + Streamlit)
YouTubeWajid - The ML guy
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AI Hướng Nghiệp Soi Lối Vào Đại Học
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热门视频
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
TikTokarlestaboada
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已浏览 2427 次1 周前
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
6:43
El estudio probó y comparó tres enfoques de modelos de ensambl…
已浏览 5098 次5 天之前
TikTokarlestaboada
xgboost #machinelearning #mathematics #dataanlysis #datascience #machinelearning
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xgboost #machinelearning #mathematics #dataanlysis #datas…
已浏览 1134 次1 天前
YouTubeDataMListic
Build a Customer Churn Prediction System with Machine Learning | Python Project Tutorial
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Build a Customer Churn Prediction System with Machine Learning | P…
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SHAP : Choisir le meilleur explainer pour vos modèles
已浏览 26 次1 周前
YouTubeAlphorm
Telco Customer Churn Prediction using Random Forest & Streamlit
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已浏览 1 次1 天前
YouTuberelangi gowtham krishna sai
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Logistic Regression - Model Assumptions | Anupriya R
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