Hello guys, Today i am going to explain about Autocovariance, Autocorrelation and partial Autocorrelation. How get them in python. In Time series analysis(TSA) this concept is must, so lets start. Before knowing about Autocovariance, Autocorrelation better to know about correlation and covariance let me explain about covariance and correlation first(intro).{…

Hello friends today I am going to explain use of cross-validation using python a simple example.please go through the cross validation theory. Regression refers to the prediction of a continuous variable (income, age, height, etc.) using a dataset’s features. A linear model is a model of the form: Here 𝜖ϵ…

Today I am going to explain about confidence intervals for population proportions. Before going though this article please go through the confidence interval theory. The first major topic is learning about proportions. In a sample of size 𝑁 there are 𝑀 “successes” (say, people who clicked on an advertisement) and…

Hello guys, Today I will be going to explain Basic of Correlations and using in python. I think this is important to know the concept of correlation while handling simple and multiple Linear regression. Correlation is a measure of how strongly two variables are related to one another. The most…

Hello,This article is mainly to understand idea behind Descriptive Statistics. Here i am explaining theory and code for the same. I hope readers will enjoy. Often in data analysis projects we begin with descriptive statistics to get a sense of a dataset’s properties. …

Hai friends Here I want to discuss about activation functions in Neural network generally we have so many articles on activation functions. Here I want discuss every thing about activation functions about their derivatives,python code and when we will use. This article will cover….. a) Why Activation? b) Important Activation…