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 →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 →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?
Learn more →In this article we will learn how to normalize Numpy array to a unit vector.
Learn more →In this chapter, we will understand what is the significance of RMSE, and how to calculate it using scikit-learn.
Learn more →Microsoft Azure cloud services provide the Python SDK to make cloud management and data processing easier for Python developers. This tutorial discusses the process to use Azure in Python to upload, download and manage files on the Azure cloud storage.
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