. Feature selection is also known as attribute selection is a process of extracting the most relevant features from the dataset and then applying machine learning algorithms for the better performance of the model. Based on the data received from recommendation systems, the algorithms change. Top 10 Algorithms every Machine Learning Engineer should know from www.geeksforgeeks.org Informative articles that you may like to read. What are the algorithms required to solve all c++. Eg if you’re trying to classify then the following kinds of ml algorithms are best, if you’re trying to do inference then rule learning and bayesian network learning are good, if you’re curve fitting then regression is good, etc.