Pre-processing data refers to cleaning of data, removing invalid data, noise, replacing data with relevant values and so on.Data pre-processing basically refers to the task of gathering all the data (which is collected from various resources or a single resource) into a common format or into uniform datasets (depending on ... Read More

Decision tree is the basic building block of the random forest algorithm. It is considered as one of the most popular algorithms in machine learning and is used for classification purposes. The decision given out by a decision tree can be used to explain why a certain prediction was made. ... Read More

Scikit-learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling.This includes classification, regression, clustering, dimensionality reduction, and much more with the help ... Read More

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. Seaborn is a library that helps in visualizing data. It comes with customized themes and a high level interface.General scatter plots, histograms, etc ... Read More

Data present in large amounts needs to be dealt with properly. This is why computers with large capacities are used. Scientific and technical computations of large datasets can be done with the help of a library in Python known as SciPy. SciPy is short of ‘Scientific Python’.The Numpy library in ... Read More

Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. Seaborn is a library that helps in visualizing data. It comes with customized themes and a high-level interface.Kernel Density Estimation, also known as ... Read More

Scikit-learn, commonly known as sklearn is an open-source library in Python that is used for the purpose of implementing machine learning algorithms.This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python. This library is built on Numpy, SciPy and ... Read More

Scikit-learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms.It is an open-source library hence it can be used free of cost. Powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes ... Read More

Identity MatrixAn identity Matrix is a matrix which is n × n square matrix where the diagonal consist of ones and the other elements are all zeros.For example an identity matrix of order is will be −const arr = [    [1, 0, 0],    [0, 1, 0],    [0, ... Read More

We are required to write a JavaScript function that takes in a string that might contain some alphabets. The function should count and return the number of vowels that exists in the string.ExampleFollowing is the code −const str = 'this is a string'; const countVowels = (str = '') => ... Read More