Skip to content

Tag Archives: ML-Statistics

Population: A complete collection of the objects or measurements is called the population or else everything in the group we want to learn about will… Read More
Statistics, in general, is the method of collection of data, tabulation, and interpretation of numerical data. It is an area of applied mathematics concern with… Read More
Prerequisite : Log Odds, Logistic Regression  NOTE: It is advised to go through the prerequisite topics to have a clear understanding of this article.  Log… Read More
Prerequisite : Maximum Likelihood Estimate NOTE : It is advised to read the prerequisite article before moving on to Wald Test. Wald Test : It… Read More
The Pearson product-moment correlation coefficient (or Pearson correlation coefficient) is a measure of the strength of a linear association between two variables and is denoted… Read More
Regularized Discriminant analysis Linear Discriminant analysis and QDA work straightforwardly for cases where a number of observations is far greater than the number of predictors… Read More
Odds (odds of success): It is defined as the chances of success divided by the chances of failure. Say, there is a 90% chance that… Read More
Before getting into the Weibull Hazard plot, let us first understand what a hazard function is.  Hazard function (h(t)): It tells us about the measure… Read More
Student’s t-test or t-test is the statistical method used to determine if there is a difference between the means of two samples. The test is… Read More
Multicollinearity: It generally occurs when the independent variables in a regression model are correlated with each other. This correlation is not expected as the independent… Read More
Tpot is an automated machine learning package in python that uses genetic programming concepts to optimize the machine learning pipeline. It automates the most tedious… Read More
Prerequisite: Eigenvalues  and eigenvectors Let A and B be two matrices of order n. B can be considered similar to A if there exists an… Read More
A  4-plot is a collection of 4 different graphical Exploratory Data Analysis (EDA) tools, whose main motive is to test the assumptions that underlie most… Read More
A standard deviation plot is used to check if there is a deviation between different groups of data. These groups can be generated manually or… Read More
The spectral plot is used to demonstrate the single dominant frequency of the plot. This indicates that the single cycle sinusoidal model might be appropriate.… Read More

Start Your Coding Journey Now!