Download Tutorial Applied Machine Learning in Python
This course will introduce the learner to applied machine learning, focusing on the techniques and methods of these methods. The course will start with a discussion of how learning is different from descriptive statistics, and introduces the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as those clusters, will be tackled. This paper is intended to be used in a variety of ways, including cross-validation and over-reading. The course will be more advanced techniques, such as building sets, and practical limitations of predictive models.
This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting and Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.