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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.
Through this blog, we will try to answer: “What is data distribution in machine learning?”. This blog post explores the concept of data distribution in data science. Understanding data distribution is a critical aspect of data analysis and visualization. A distribution is simply a collection of data, or scores, on a variable. Usually, these scores … Read more
Lorenz curve and Gini Coefficient are classic indicators in the field of economics. The Lorenz curve and Gini coefficient are important tools for professionals who work with data related to income inequality and wealth distribution, as well as for those who need to understand economic and social trends in their respective fields. We’re about to … Read more