LibGuides: TIM-6500: Week 3 Resources

Week 3 Resources

Python Machine Learning
Lee, W. (2019). Python machine learning. ProQuest Ebook Central
Read Chapter 1, Introduction to Machine Learning.
This chapter introduces the concept of machine learning, a technique used to find patterns in data. Specifically, the types of problems addressed using machine learning is the focus.
Python Machine Learning
Lee, W. (2019). Python machine learning. ProQuest Ebook Central.
Read Chapter 3, Manipulating Tabular Data Using Pandas.
Read Chapter 5, Getting Started with Scikit-learn for Machine Learning, Data Cleansing (pp. 107-112).
Chapter 3 discusses using the Pandas library to represent tabular data in the Series and DataFrame data structures.
Chapter 5 (specifically these pages) discusses using the Scikit-learn library to read and clean data.
Data Science for Dummies
Pierson, L. (2017). Data science for dummies. ProQuest Ebook Central.
Read Chapter 3, Applying Data-Driven Insights to Business and Industry.
This chapter shows examples of how data provides insight into a variety of business scenarios. The difference between the four types of analytics reveals increasing complexity levels used in the field.
Pythonic Data Cleaning with Pandas and NumPy
Agarwal, M. (2020). Pythonic Data Cleaning with Pandas and NumPy
This chapter shows examples of how data provides insight into a variety of business scenarios. The difference between the four types of analytics reveals increasing complexity levels used in the field.