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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.
What is Data Science?
Data Science Assignment Help is a relatively new, inter-disciplinary field that revolves around data. The data science process generally involves gathering data, processing data, understanding data, making inferences from data using algorithmic models and finally communicating the findings. With over 50 billion devices connected to the Internet, it is estimated that every person generates around 1.7 MB of data every second! By 2025, around 5.2 zettabytes of such data could be analysed using data science. This makes it evident that Data Science Homework Help will continue to be a sought after skill in the years to come.What Data Science problems do you help with?
Data Science deals with developing predictive analysis from large volumes of data. The data science process helps extracting and understanding the patterns that may exist in the data.
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