# Tag Archives: R Machine-Learning

Time Series Analysis is a way of analysing and learning the behaviour of datasets over a period. Moreover, it helps in learning the behavior of… Read More
Machine Learning is a subset of Artificial Intelligence (AI), which is used to create intelligent systems that are able to learn without being programmed explicitly.… Read More
Fisher’s F test calculates the ratio between the larger variance and the smaller variance. We use the F test when we want to check where… Read More
Correlation is a statistical measure that indicates how strongly two variables are related. It involves the relationship between multiple variables as well. For instance, if… Read More
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 is used by winners of many machine learning competitions. XG Boost works only with the numeric variables.… Read More