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A confusion matrix is a performance measurement tool used in machine learning and classification problems to assess...
Sampling is a fundamental concept in statistics and research methods, which involves selecting a subset of individuals,...
Regression analysis is a powerful statistical technique that plays a pivotal role in data science, economics, finance,...
Data shows a tendency to concentrate at certain value, usually somewhere in the centre of the distribution....
Artificial Intelligence (AI) has emerged as a transformative technology that is revolutionizing various industries and reshaping the...
Discover the ultimate compilation of data repositories that fuel ML/DL tasks. Explore valuable resources for your projects...
Photo by Joshua Sortino on Unsplash Machine learning has become an integral part of various industries, ranging...
Navigating Challenges and Techniques in Categorical Feature Engineering | by Ajeet Verma | Jun, 2023
![](https://crypto4nerd.com/wp-content/uploads/2023/06/1cSRGsRwJK9xRq5DuToa3Ew-300x200.jpeg)
Navigating Challenges and Techniques in Categorical Feature Engineering | by Ajeet Verma | Jun, 2023
“Enhancing Variable Representations for Machine Learning” taken from https://pixabay.com/ Categorical variables, also known as qualitative variables, are...
Unleashing the Power of Data: A Journey into the World of Data Science | by Ashish Verma | Jun, 2023
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Unleashing the Power of Data: A Journey into the World of Data Science | by Ashish Verma | Jun, 2023
Introduction:In today’s data-driven world, the ability to extract valuable insights from vast amounts of information has become...