Hi All! Today, we will learn how to implement Moore’s Law Using Linear Regression in Python. Before going through this tutorial, it is highly recommended to go through the mathematics behind this tutorial. Moore’s law states that in an Integrated Circuit, the transistor count doubles every year or transistor count, Y = a*2^X where a […]
Author: Jyoti Dixit
Moore’s Law Using Python
Moore’s Law using Python Hi All! Today, we will learn how to implement Moore’s Law Using Python using Linear Regression. Before going through this tutorial, it is highly recommended to go through the mathematics behind this tutorial. What is Moore’s law? Gordon Moore, the co-founder of Intel proposed Moore’s law in 1965. It states that […]
Linear Regression Using Python
Linear Regression using Python Hi MLEnthusiasts! In this tutorial, we will learn how to implement Linear Regression using Python, how to visualize our variables, i.e., do plotting and how to do mathematical computation of R square using Python. Please note that this tutorials is based on our previous tutorial “The Mathematics behind Univariate Linear Regression“. […]
Mathematics Behind Linear Regression
Mathematics Behind Linear Regression Hi ML Enthusiasts! Today, we are going to learn about the mathematics behind linear regression. Basics of Linear Regression The equation or curve that is used to represent the linear law is given as below: where i ranges from 1 to number of observations, N, yi is the output variable, also […]
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The Mathematics Behind Univariate Linear Regression
Hi ML Enthusiasts! Today, we are going to learn about the mathematics behind linear regression. Basics of Linear Regression The equation or curve that is used to represent the linear law is given as below: where i ranges from 1 to number of observations, N, yi is the output variable, also called as predicted variable […]