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Tag Archives: R Machine-Learning

The Kolmogorov-Smirnov Test is a type of non-parametric test of the equality of discontinuous and continuous of a 1D probability distribution that is used to… Read More
The Exponential Smoothing is a technique for smoothing data of time series using an exponential window function. It is a rule of the thumb method.… Read More
The concept used to generalize the solution of a linear equation is known as Moore – Penrose Pseudoinverse of a matrix. Moore – Penrose inverse… Read More
Root mean squared error (RMSE) is the square root of the mean of the square of all of the error. RMSE is considered an excellent… Read More
Neural Networks is a well known word in machine learning and data science. Neural networks are used almost in every machine learning application because of… Read More
Regression analysis is a statistical tool to estimate the relationship between two or more variables. There is always one response variable and one or more… Read More
The One proportion Z-test is used to compare an observed proportion to a theoretical one when there are only two categories. For example, we have… Read More
Exploratory Data Analysis or EDA is a statistical approach or technique for analyzing data sets in order to summarize their important and main characteristics generally… Read More
Neural networks also known as neural nets is a type of algorithm in machine learning and artificial intelligence that works the same as the human… Read More
Classification is the task in which objects of several categories are categorized into their respective classes using the properties of classes. A classification model is… Read More
XGBoost is a fast and efficient algorithm and used by winners of many machine learning competitions. XG Boost works only with the numeric variables. It… Read More
The strength of the association between two variables is known as the correlation test. For instance, if one is interested to know whether there is… Read More
Conditional Inference Trees is a non-parametric class of decision trees and is also known as unbiased recursive partitioning. It is a recursive partitioning approach for… Read More
In R programming, data analysis and visualization is so easy to learn the behaviour of the data. Moreover, the R language is used mostly in… Read More
A series or set of algorithms that try to recognize the underlying relationship in a data set through a definite process that mimics the operation… Read More