Applied Machine Learning in Python

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce 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 evaluating those clusters, will be tackled. Supervised approaches for creating

• Describe how machine learning differs from descriptive statistics
• Create and evaluate data clusters
• Explain various approaches to build predictive models
• Build features tailored for analysis needs

• Basic knowledge of statistics and programming