AI engineers are popular. Also, AI engineer compensation and arrangement for assistance mirror that. Truth be told, AI designing is the best employment in the

Read more## Image Processing Software

Image Processing Software Picture Processing Toolbox™ gives a thorough arrangement of reference-standard calculations and work process applications for picture handling, investigation, representation, and calculation improvement.

Read more## KNN Algorithm

KNN Algorithm KNN in any case called K-nearest neighbor is a directed and model gathering learning calculation which supports us find which class the

Read more## KNN Algortihm In Python

KNN Algortihm In Python In this model we will use the Social_Networks_Ads.csv record which contains data about the customers like Gender, Age, Salary. The Purchased

Read more## Ordinal Logistic Regression

Ordinal Logistic Regression In issues where the potential outcomes are “Moderate, Labor or Liberal-Democrat” or “Red, Blue, Green” there is no reasonable solicitation to the

Read more## Multiple Logistic Regression

Numerous strategic relapse is recognized from different direct relapse in that the result variable (subordinate factors) is dichotomous (e.g., infected or not sick). Its point

Read more## Linear vs Logistic Regression

Linear vs Logistic Regression ->In the event of Linear Regression the result is constant while if there should arise an occurrence of Logistic Regression result

Read more## Naive Bayes In R

Naive Bayes In R library(caret) set.seed(7267166) trainIndex=createDataPartition(mydata$prog, p=0.7)$Resample1 train=mydata[trainIndex, ] test=mydata[-trainIndex, ] ## check the balance print(table(mydata$prog)) print(table(train$prog)) library(e1071) NBclassfier=naiveBayes(prog~science+socst, data=train) print(NBclassfier) printALL=function(model){ trainPred=predict(model, newdata

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