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Idea shared by Melody Diaz - March 15 at 1:49 PM
Model Selection
There are many parameters on which choice of model depends for example if the target variable shows some sort of continuity then it is prefered to choose a regression based model. Similarly if the target variable consists of categorical values , then in that case it would be better not to choose regression. There are different classification algorithms on which these models are built on. For example logistic regression algorithm represents a Machine Learning Technique used for classifying a set of data into its given target values . Logistic regression could also be used for regression problems but is widely used for classification problems.
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hellon wood Replied
March 15 at 7:51 PM
There are several factors that influence model selection. For example, if the target variable exhibits any degree of consistency, a regression-based model is preferred. Similarly, if the target variable contains categorical values, regression should be avoided. These models are constructed using a variety of classification algorithms. Pay Someone To Do Essay
hellon wood Replied
July 29 at 12:08 PM
The field of data science is concerned with the development of predictive analysis from massive amounts of data. The data science process aids in the extraction and comprehension of any patterns that may be present in the data. KWH TO JOULES

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