[Udemy 100% Off]-R Programming , Logistic and Linear regression, Integrals
Description In this class, we cover the following : Fundamentals of R Assignment and Arithmetic with R Vectors, list and matrix loops (for, if ,if else, while, repeat ) functions Some nice Plots for data visualization (outlier detection, correlation coefficients ) How to detect and eliminate outliers and missing values from the data How to use the mallows'CP to select the best subset of parameters for the linear regression model logistic and linear regression models How to use the mallows'CP to select the best subset of parameters for the linear regression model confidence intervals of parameters model performance , prediction and interpretation du result Integral approximation By the end of this course , you will be able to effectively code in R. You will be able to summarize your data , visualize your data , detect and eliminate outliers and missing values form your data ,construct and interpret a logistic or linear regression model using the best subset of parameters, predict , approximate complex integral and more . |
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