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Code repository for the book 'Machine Learning in Python for Process Systems Engineering'

This is the source code of the book "Introduction to Machine Learning Based on Mathematical Principles with Python".

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented... Read more

Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"

Code repository for the book 'Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance'

Example Code from the book Python Machine Learning, using a database of character images.

This is the Repository of the book "Applied Machine Learning with Python", published in its first edition in 2019.

This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.

Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallati... Read more

# Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitcoin trading strategy. To make these predictions, we will have to familiarize ourself with a machine le... Read more