Analytics for the 21st Century Workforce
This topic contains three major sections, one explaining what anomaly is, second one explaining detecting anomalies in data set and in last one we will see how to detect anomalies in time series data set.
Learn more →Let’s learn about the Naive Bayes Classifier using scikit-learn.
Learn more →A pandas boxplot, often known as box and whisker plot, is a type of data visualization that is relatively straightforward.
Learn more →In this tutorial, you shall learn about sending .csv file from pandas as an email attachment without the need to download the file.
Learn more →In this lesson, we discuss multiple linear regression and how it differs from simple linear regression.
Learn more →For linear regression models, ordinary least squares is a common method used to estimate unknown parameters.
Learn more →The Sklearn pipeline aims to assemble several steps that can be validated together while adjusting various parameters.
Learn more →Here, we teach you about “Categorical Encoding” using scikit-learn.
Learn more →Confusion matrix can be used to understand the effectiveness of binary or categorical classifiers. Let’s learn about confusion matrix and how to plot it.
Learn more →In this article, we shall learn about what is p-value and how to calculate it?
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