PremalMataliaWhat are the assumptions of linear regression regarding residuals?a) Normality assumption: It is assumed that the error terms, ε(i), are normally distributed. If the residuals are not normally distributed…Mar 31, 2020Mar 31, 2020
PremalMataliaBinomial DistributionA binomial distribution can be thought of as simply the probability of a SUCCESS or FAILURE outcome in an experiment or survey that is…Mar 14, 2020Mar 14, 2020
PremalMataliaQ-Q plot in linear regression-ExplainedQuantile-Quantile (Q-Q) plot, is a graphical tool to help us assess if a set of data plausibly came from some theoretical distribution such…Mar 6, 2020Mar 6, 2020
PremalMataliaWhat is scaling? Why is scaling performed? Normalized vs. standardized scalingWhat?Mar 5, 2020Mar 5, 2020
PremalMataliaCoefficient of correlation vs. Coefficient of determinationCoefficient of Correlation (r):Mar 4, 20201Mar 4, 20201
PremalMataliaGradient Descent Algorithm-ExplainedGradient descent is an iterative optimization algorithm. In linear regression, it is used to optimize the cost function and find the…Feb 29, 2020Feb 29, 2020
PremalMataliaLinear Regression Algorithm (Machine Learning)Linear regression is a method of finding the best straight-line fitting to the given data, i.e. finding the best linear relationship…Feb 29, 2020Feb 29, 2020
