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…2 min read·Mar 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…2 min read·Mar 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…2 min read·Mar 6, 2020----

PremalMataliaWhat is scaling? Why is scaling performed? Normalized vs. standardized scalingWhat?2 min read·Mar 5, 2020----

PremalMataliaCoefficient of correlation vs. Coefficient of determinationCoefficient of Correlation (r):2 min read·Mar 4, 2020--1--1

PremalMataliaGradient Descent Algorithm-ExplainedGradient descent is an iterative optimization algorithm. In linear regression, it is used to optimize the cost function and find the…2 min read·Feb 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…2 min read·Feb 29, 2020----