building machine intelligence machine learning pipelines supervised machine learning pipeline unsupervised machine learning pipeline real-world case studypredicting student grant recommendations objective data retrieval data preparation modeling model evaluation model deployment prediction in action challenges in machine learning real-world applications of machine learning summary # the python machine learning ecosystem pythonan introduction strengths pitfalls setting up python environment why python for data science? introducing the python machine learning ecosystem jupyter notebooks numpy pandas scikit-learn neural networks and deep learning text analytics and natural language processing statsmodels summary vii