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 using Python and Quarto. 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.

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 using Python and Quarto. 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, analyze, 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, analyze, 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.

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.