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For the term "ggplot".

Boosting in Machine Learning-Complete Guide

The majority of supervised machine learning algorithms rely on a single predictive model, such as linear regression, logistic regression, or ridge regression. Bagging and random forests, on the other hand, generate a variety of...

Bagging in Machine Learning Guide

Bagging in Machine Learning, when the link between a group of predictor variables and a response variable is linear, we can model the relationship using methods like multiple linear regression. When the link is...

Decision tree regression and Classification

Decision tree regression and Classification, Multiple linear regression can yield reliable predictive models when the connection between a group of predictor variables and a response variable is linear. Random forest machine learning Introduction »...

Conditional Mean in R with examples

Conditional Mean in R, to calculate a conditional mean in R, use the following syntax. mean(data[data$Name == ‘India’, ‘points’]) For every row in the data frame where the ‘Name’ column equals ‘India,’ this calculates...

Data Scientist

Job Description Experience: 5-10 years Location: Bangalore Salary: 6-18LPA Skills preferred: Minimum 5 years experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. >5 years...

Time Series Trend Analysis in R

Time series trend analysis, The Mann-Kendall Pattern Test is used to detect whether or not time series data has a trend. It’s a non-parametric test, which means there’s no underlying assumption about the data’s...

Data Analyst

Education : BE/BTech Degree in Computer Science / IT from a premium institute Experience : 1 – 3 years / Looking for Freshers, who had completed the degree in 2020 Location : Chennai No of Positions : –...

Calculate Polychoric Correlation in R

Calculate Polychoric Correlation in R, The correlation between ordinal variables is calculated using polychoric correlation. Remember that ordinal variables are categorical possible values and natural order. Some of the common scales measured on an...

Classification Techniques in Data Mining

Classification Techniques in Data Mining, Classification is the process of grouping things or items into groups or classes based on their affinities and resemblances in order to communicate the units of traits that may...