Machine Learning Process in 4 Steps

We'll see the process of building machine learning models quickly! We have a set of activities that will always carry out during the construction of a predictive model. These four steps involve technical exercises, mathematical and statistical procedures, programming and business knowledge. It is essential to know this process because each step requires different tools, techniques, and procedures -- nothing more than a Data Scientist's routine work. Eventually, some algorithms will require certain adjustments in this construction process, especially unsupervised learning algorithms, but the vast majority of supervised algorithms follow this highly recurrent process.