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A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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多元线性回归VBA实现 可以自动分析并生成最优回归方程 并计算中间量-Multiple linear regression by VBA. This code can automatically analyze and generate the optimal regression equation and calculate the important values.
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完成一个多元线性回归模型，并给出回归结果，给出q值检验，拟合优度。画出残差图，对结果进行分析。-To complete a multiple linear regression model, and gives regression results, given the q value, goodness of fit. Residual plotted on a graph to analyze the results.
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In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
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支持向量机（SVM）是与相关的学习算法有关的监督学习模型，可以分析数据，识别模式，用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
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利用回归分析法，分析某地负荷变化与当地天气因素的变化关系，得到相关性较大的几个因素，并进行拟合比较-With regression analysis to analyze the relationship between changes in a certain place with the local weather changes in load factor to give greater relevance to several factors, and the fit
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