If you enjoyed this book, you may be interested in these other books by Packt:

Machine Learning Fundamentals
Hyatt Saleh

ISBN: 978-1-78980-355-6

• Understand the importance of data representation
• Gain insights into the differences between supervised and unsupervised models
• Explore data using the Matplotlib library
• Study popular algorithms, such as k-means, Mean-Shift, and DBSCAN
• Measure model performance through different metrics
• Implement a confusion matrix using scikit-learn
• Study popular algorithms, such as Naïve-Bayes, Decision Tree, and SVM
• Perform error analysis to improve the performance of the model
• Learn to build a comprehensive machine learning program

Python Machine Learning By Example
Yuxi (Hayden) Liu

ISBN: 978-1-78355-311-2

• Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
• Use Python to visualize data spread across multiple dimensions and extract useful features
• Dive deep into the world of analytics to predict situations correctly
• Implement machine learning classification and regression algorithms from scratch in Python
• Be amazed to see the algorithms in action
• Evaluate the performance of a machine learning model and optimize it
• Solve interesting real-world problems using machine learning and Python as the journey unfolds