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Linear Regression In Data Science Essay

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Below is the list of Interview Questions mostly asked in the area of Data Science 1. What is Data Science? A. Data Science is an inter disciplinary field of different scientific methods, techniques, processes and knowledge that is used to transform the data of different types such as structured, un structured and semi structured data into the required format or representation. Data Science concepts include different concepts such as statistics, regression, mathematics, computer science, algorithms, data structures and information science with also including some sub fields such as data mining, machine learning and databases etc., Data Science concept has recently evolved to greater extent in the area of computing technology in order …show more content…

So, the existing data should always be cleanly and well maintained to get sophisticated and good outcomes during the optimization of the system. 4. What is Linear Regression in Data Science? A. Linear Regression is a technique used in supervised machine learning algorithmic process under the area of Data Science. This method is used for predictive analysis. Predictive analytics is an area within Statistical Sciences where the existing information will be extracted and processed to predict the trends and outcomes pattern. The core of the subject lies in the analysis of existing context to predict an unknown event. The process of Linear Regression method is to predict a variable called target variable by making the best relationship between the dependent variable and an independent variable. Here dependent variable is outcome variable and also response variable where as the independent variable is predictor variable or explanatory variable. For example in real life, depending on the expenses occurred in this financial year or monthly expenses, the predictions happen by calculating the approximate upcoming months or financial years

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