Before any Data Analysis, what could be better than knowing the types of data to import and how to import them.In this tutorial we will see how to import files from several sources. 1: Txt Files A txt file is a file that contains plain (unformatted) text and does not require any special program (software) […]
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Any project starts with a well-defined problem statement (like forecast the sales of an X item present in its inventory in the coming month or the cause of customer churn) or a not well-defined problem (like how to increase sales of a product). Data science enables us to solve this business problem with a series […]
An ETL (extract, transform, load) pipeline is a fundamental type of workflow in data engineering. The goal is to take data that might be unstructured or difficult to use or access and serve a source of clean, structured data. It’s also very straightforward and easy to build a simple pipeline as a Python script. The […]
Introduction Do you ever wonder how your organization gets all employee information, salary, project details on a beautiful dashboard? Do you wonder how a Chef gets all his ratings, reviews consolidated as a single grade? Do you wonder how you will get a credit score based on all your credit history put together? Of course, […]
Introduction: Regression algorithms predict continuous values from predictor variables. Predicting the price of a house based on its characteristics is a good example of regression analysis.In this article, I will implement univariate (one-variable) linear regression in python. Linear regression? What’s mean? Linear regression is an algorithm that will find a straight line that comes as […]
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