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Difference between Z-test, F-test, and T-test

Z-Test: A z-test is used for testing the mean of a population versus a standard, or comparing the means of two populations, with large (n ≥ 30) samples whether you know the population standard deviation or not. It is also used for testing the proportion of some characteristic versus a standard proportion, or comparing theContinue reading “Difference between Z-test, F-test, and T-test”

Calculating Accuracy

In our previous article we seen how to calculate linear regression by hand, in this article we will discuss how to find the accuracy of our linear regression model which we build. Below are the metrics we need to calculate to check our model accuracy. R^2 (Coefficient of Determination) Adjusted R^2 MSE RMSE First,Continue reading “Calculating Accuracy”

How to calculate One sample T test

The One Sample T test determines whether the sample mean is statistically different from a known or hypothesized population mean. Or The one-sample t-test is used to determine whether a sample comes from a population with a specific mean. Sometimes we might know the population mean or sometimes populationContinue reading “How to calculate One sample T test”

Simple Linear Regression with Stochastic Gradient Descent

Make sure we are familiar with Cost/Loss function and Gradient, before you go thru this blog Gradient descent which we will also called Optimization. We have seen how to calculate Linear regression and also how to calculate accuracy.As we know to get best accuracy we are using Gradient descent by reducing slope and Intercept/error, LetsContinue reading “Simple Linear Regression with Stochastic Gradient Descent”

correlation

In general correlation means the relation between two different entities will come under Bi varient analysys . In this blog we will discuss about below item. Co Variance correlation coefficient Coefficient of Variation Covariance: Covariance is a measure of how much two random variables/datasets vary together or When we want to understand the linearity betweenContinue reading “correlation”

Outliers treatment

An extreme value or low value compared to other observations is called Outliers or the observation that is very far from other observations. Parametric Machine Learning Algorithms are very sensitive with Outliers. But why? The first person who get affected with outliers is mean, all parametric machine learning will use mean,so It will impact ourContinue reading “Outliers treatment”