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Do you speak Markdown? It’s not a foreign language, but rather a programming language familiar to Data Scientists and Data Analysts. It may not mean
The K-Nearest Neighbors (KNN) algorithm is a machine learning algorithm belonging to the class of simple and easy-to-implement supervised learning algorithms. It can be used
If you study data and want to derive information from it, you will often need to process the data, modify it and, above all, build
Cross-Validation is a method for testing the performance of a Machine Learning predictive model. Discover the most commonly used techniques and how to learn to
MapReduce is the programming model of the Hadoop framework. It enables the analysis of massive volumes of Big Data through parallel processing. Discover everything you
ELK DevOps: In order to ensure the performance of the information system, DevOps operators have to carry out numerous tasks, such as data retrieval, log
Scapy is a tool for manipulating computer network packets written in Python. It allows, among other things, the forging or decoding of packets, as well
Very popular among developers and testers, Apache Ant allows for significant time savings and improved work quality in code building. So, how does this tool
The Conditional Generative Adversarial Network (cGAN) is a model used in deep learning, a derivative of machine learning. It enables more precise generation and discrimination
Adversarial Training: Since the 2010s, thanks to advances in Machine Learning, especially Deep Learning with deep neural networks, errors have become increasingly rare. Today, they
Bash is the most popular shell, widely used in the field of computer programming, as well as for Data Science and Machine Learning. Discover everything
Folium is one of the many open-source Python libraries that extend its capabilities. In the case of Folium, it’s a powerful visualization tool because it
