Hi Everyone! Today, we will learn about ridge regression, the mathematics behind ridge regression and how to implement it using Python! To build a great foundation on the basics, let’s understand few points given below: Firstly, let us have a look at the Sum of square of errors function, that is defined as It is […]
Category: python
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 […]
Implementing Moore’s Law Using Python
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 […]
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“. […]
Perceptron Algorithm using Python
Perceptron Algorithm using Python In this tutorial, we will learn how to implement Perceptron algorithm using Python. Perceptron is the first step towards learning Neural Network. It is a model inspired by brain, it follows the concept of neurons present in our brain. Several inputs are being sent to a neuron along with some weights, […]