Search This Blog

| INNOVITRONICS |

Hi there... My name is Vicky. This blog is all about Science & Technology with Engineering. This blog aims to keep you informed on the latest innovations and developments in science. And the BEST part that if you want anything explained then you can comment out and you will get your answer soon.

Home
About Us
Contact Us
Disclaimer
Terms & Condition
Privacy Policy

More…

Contact Us

Get link
Facebook
X
Pinterest
Email
Other Apps

Get link
Facebook
X
Pinterest
Email
Other Apps

Comments

Decision Tree Regression Full Concepts | Machine Learning | Data Science

Decision Tree Regression with Example | Machine Learning Algorithm | Data Science Tree-based methods are simple and useful as they are not that much competition with the other supervised learning algorithm in terms of predictions. Decision tree-based method involves segmenting the predictor space into a number of simple regions. To predict the prediction we usually use the mean and mode of the training observations. These types of set of rules can be explained as a tree and these types of approaches known as Decision Tree Methods. sal = mean log salary We are predicting the player's salary by years he played and no hits he made in his whole career. So, the above figure shows the regression tree to fit it and it consists of a series of splitting rules and stating at the top of a tree and ending at the last second level of the tree. As in this regression tree, the splitting is based on the experience in years then with the more than 4.5 years experience the tree is further split into...

SMART HOSPITAL | IoT based smart health monitoring system | Real time responses | Internet Of Things | ESP8266

SMART HOSPITAL | IoT based smart health monitoring system | Real time responses | Internet Of Things | ESP8266 Problem Statement Our problem statement is now a day many busy people are facing more problems regarding their health due to their busy lives they are not to able to monitor their health condition properly. And they get easily sick or committed to weakness just because they are not able to update their health and sometimes if we did not mind them then these small diseases can be fatal in the future. So we have to make a system which can help them out to monitor their own health problems and all the received data can be used in the treatment of that individual. Introduction According to our theme i.e. Smart Hospital , we will make our health c...

Linear regression to Logistic regression a conversion | Maths Intuition | Data Science | Machine Learning | Mathematics

Linear regression to Logistic regression a conversion | Maths Intuition | Data Science | Machine Learning | Mathematics Photo by Chris Lawton on Unsplash Logistic regression is a machine learning algorithm, which is used for : 1. Binary Classification 2. Multiclass Classification Yes, it is a classification algorithm, not a regression algorithm as the name is suggesting. Basically, it is used to classify between the Yes/No , 0/1 or True/False . It uses the sigmoid function to predict the result. Problem with the linear regression: In linear regression, we can find the value of a dependent variable with the help of other independent variables. It works with continuous values, basically, it draws a regression line over the graph so that the distance between the regression line and the points should be minimum. But when it comes to the binary classification then it is impossible to make a regression line through the data points, so that it can give you the best results a...