Multivariate Linear Regression With R Hi ML Enthusiasts! Today, We will be learning how to perform multivariate linear regression with R. In this case-study, we will be using a very famous data set “King County House sales” in which we will treat price as the dependent variable and other variables as independent variables. We will […]
Category: DS Concepts
Linear Regression using R
Linear Regression using R Hi Everyone! Today, we will learn about implementing linear regression using R and building the linear regression model in R using a dataset from kaggle. The dataset is divided into two parts, one is train.csv and the other one is test.csv. We will make our model using train.csv and then test […]
Expected value and standard deviation
Expected value, variance and standard deviation Hi Everyone! Today, we will learn about the concepts of expected value, variance and standard deviation. We will also learn about their implementation using MS-Excel. Consider a firm M which has collected the data of profits and the probability of their occurrence. The profits can be taken in the […]
Web Crawler – Part 1
Web Crawler – Part 1 Hi Everyone! Today we will learn about Web Crawler. A Web Crawler is a technique that we use to extract information from a web-page. In this basic crawler we will extract all the website links being present on a web-page. To implement it we will use a Python Library called […]
Discrete Uniform Probability Distribution
Discrete Uniform Probability Distribution Hi ML enthusiasts! In our last post, we talked about basics of random variables, probability distributions and its types and how to generate a discrete probability distribution plot. In this article, we will talk about the Discrete Uniform Probability Distribution and its implementation with MS-Excel. Discrete Uniform Probability Function Consider the […]