Boolean Operations in NumPy includes everything that we need to do manipulation on provided data or arrays — it is the foundation of data manipulation in NumPy.
Category: Data Analysis
Universal Functions in NumPy
Hi Enthusiastic Learners! In this article we learn about many Universal Functions or Built-In functions of NumPy. Universal Functions plays a very crucial role in getting best performance out of NumPy and if you want to know advantages and effects on performance while using Universal Functions (UFuncs), you should go through our article Why use […]
Introduction to NumPy
While working on Data Science or Machine Learning or any analysis we always need a way which provides efficiency in storage, efficiency in manipulation of numerical arrays & that too quickest possible way. Thankfully! Numpy provides us all of this.
Multivariate Linear Regression With R
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 […]
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Expected value, variance and standard deviation using MS-Excel
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 scale of 1000’s of $. We […]