An analysis of a project data on the relationship between water quality and feed nutrients in fish production. The dataset was cleaned and wrangled using pandas library Using Seaborn python library, the regression plot was plotted to present the relationship between the data. The regression coefficient was analysed using the Linear Regression model form the sklearn library Correllation analysis of the dataset was done using simple pandas
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Regression and Correlation analysis of fish feed nutrient dataset.
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