Real World Data Science & Machine Learning Projects

Make powerful analysis, Make robust Machine Learning models Master Machine Learning on Python Know which Machine Learning model to choose for each type of problem Implement Machine Learning Algorithms Explore how to deploy your machine learning models. "Algorithms that parse data, learn from that data, and then apply what they've learned to make informed decisions" An easy example of a machine learning algorithm is an on-demand music streaming service. For the service to make a decision about which new songs or artists to recommend to a listener, machine learning algorithms associate the listener's preferences with other listeners who have a similar musical taste. This technique, which is often simply touted as AI, is used in many services that offer automated recommendations. Machine learning fuels all sorts of automated tasks that span across multiple industries, from data security firms that hunt down malware to finance professionals who want alerts for favorable trades.