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