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Classification of unbalanced data is a classification problem where the training sample contains a strong disparity between the classes to be predicted. This problem is
According to the statistics of the Workflow Management Coalition, workflows are at the heart of every company’s IT management. Whether you identify, monitor and manage
This is a word we often use in IT, but what exactly is it ? A framework is a conceptual or real structure that you
NumPy is a very popular Python library that is mainly used to perform mathematical and scientific calculations. It offers many features and tools that can
Unbalanced data is very common in Machine Learning. Unfortunately, they complicate predictive analysis. So to balance these data sets, several methods have been implemented. How
SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which
The Python language is widely used in the field of Data Science. Its popularity is notably linked to its various libraries dedicated to data analysis,
Data Analysis is increasingly used in companies in all sectors. Find out everything you need to know about it. Thanks to digital technologies, companies now
If you’ve been doing data science for a while you’ve probably heard of Kaggle. And you haven’t, it won’t be long now. Let’s take a
For several years, Python has been one of the most popular programming languages for application development. Its popularity is mainly due to the simplicity of
Pandas is a library of the Python programming language, entirely dedicated to Data Science. Find out what this tool is used for, and why it
Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need
