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Data science is a category that covers a wide range of topics related to the analysis and interpretation of data. This category may include keywords such as data mining, machine learning, artificial intelligence, statistical analysis, data visualization, big data, predictive modeling, and data engineering.
In this category, you can find articles, resources, and insights related to data science, including best practices, tools, and techniques used by data scientists. Whether you are a beginner or an experienced practitioner, this category can help you stay up-to-date with the latest trends and techniques in data science. You can also find tutorials, case studies, and examples of real-world applications of data science in various fields, such as healthcare, finance, marketing, and more.
This article “Linear Regression for Beginners: A Simple Introduction” targets beginners and provides a Python code snippet as well. Linear regression Linear regression is a statistical method used to predict the value of a dependent variable based on the value of one or more independent variables. We call it “linear” because it assumes that there … Read more
In this article, we’ll explore the interpretation of covariance and correlation, two widely used metrics that can sometimes be confusing to understand. By the end of this piece, you’ll have a better grasp of these concepts and be able to interpret them accurately, allowing you to use them more confidently in your work. So let’s … Read more
Welcome, we will use an example to explain standard deviation and variance in statistics. Variance If we capture the data on the arrival of flights per minute at an airport over a period of time. We will have data to plot a histogram. From the histogram, we can find out the most common, most frequent, … Read more
A quartile is a statistical measure that divides a distribution into four equal parts. A quintile divides a distribution into five equal parts. A decile divides a distribution into ten equal parts. A percentile divides a distribution into one hundred equal parts. In this post, “what are quartiles, deciles, and percentiles in statistics?”, we will … Read more
To start off, let’s dive into a technique that can help make sure that time-series forecasts don’t go beyond certain boundaries. This can be incredibly useful in a variety of situations, from financial planning to inventory management. And don’t worry if you’re not a programming expert – we’ll also take a look at some Python … Read more