Theoretical Approach to Perceptron Hi ML Enthusiasts! Today, we will take the first step towards learning Artificial Neural Networks. In this post, we will learn about the functioning of neural networks and their analogy with human brain and neurons, i.e., we will step towards learning theoretical approach to perceptron. For learning how to implement the […]
Author: Jyoti Dixit
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The Perceptron: A theoretical Approach
Hi ML Enthusiasts! Today, we will take the first step towards learning Artificial Neural Networks. In this post, we will learn about the functioning of neural networks and their analogy with human brain and neurons. For learning how to implement the perceptron algorithm using python, please go through our this post on How to implement […]
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 […]
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 […]
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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 […]