R: Complete Machine Learning Solutions

Are you interested in understanding machine learning concepts and building real-time projects with R, but don't know where to start. Then, this is the perfect course for you. The aim of machine learning is to uncover hidden patterns, unknown correlations, and find useful information from data.

In addition to this, through incorporation with data analysis, machine learning can be used to perform predictive analysis. With machine learning, the analysis of business operations and processes is not limited to human scale thinking; machine scale analysis enables businesses to capture hidden values in big data. Machine learning has similarities to the human reasoning process.

Unlike traditional analysis, the generated model cannot evolve as data is accumulated. Machine learning can learn from the data that is processed and analyzed. In other words, the more data that is processed, the more it can learn.

R, as a dialect of GNU-S, is a powerful statistical language that can be used to manipulate and analyze data. Additionally, R provides many machine learning packages and visualization functions, which enable users to analyze data on the fly. Most importantly, R is open source and free.