Unlock the potential of machine learning with our "Foundations of Machine Learning with Python" course, designed for beginners eager to delve into the world of intelligent data analysis. This hands-on class introduces participants to the fundamental concepts and practical skills required to implement machine learning algorithms using Python. Whether you're a data enthusiast, analyst, or professional looking to enhance your skill set, this course provides a solid introduction to the essentials. This class provides a solid foundation in using Scikit-Learn, the versatile machine learning library in Python. Whether you're a data enthusiast, analyst, or aspiring data scientist, this course equips you with the essential skills to implement machine learning models for classification, regression, and clustering.

Textbooks

Paper, D. (2020). Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python. Apress. Download from the University Library for free. https://doi.org/10.1007/978-1-4842-5373-1


References

McKinney, Wes. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Second edition, O'Reilly Media, Inc, 2018.
Grus, Joel. Data Science from Scratch: First Principles with Python. Second edition, O'Reilly Media, 2019.