The work of data scientists, Artificial Intelligence and Machine Learning engineers revolves largely around the use of many different algorithms which make our work easier and relatively faster. However, we often find that it is quite difficult to choose a specific algorithm for a specific use case as there are many algorithms which can equally perform the tasks we need to perform.
fastML is a python package that allows you to test and train your processed data with your preferred test size and run multiple classification algorithms on your prepared data in very few lines of code. This lets you observe the behaviours of all the algorithms you decided to run to determine which algorithms work best with your data for further development using the algorithm of your choice. This also saves you the stress of writing close to 300 lines of code as you manually would without using fastML.
链接地址：https://towardsdatascience.com/the-fastml-guide-9ada1bb761cf