1
Introduction to conformal prediction with Python : a short guide for quantifying uncertainty of machine learning models /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
2
Interpreting machine learning models with SHAP : a guide with Python examples and theory on shapley values /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
3
Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
4
Modern time series forecasting with Python : explore industry-ready time series forecasting using modern machine learning and deep learning /
Book
5
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems /
Book
6
Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
7
Practical deep learning : a Python-based introduction /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
8
Quantum machine learning with Python : using Cirq from Google Research and IBM Qiskit /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
9
Hands-on Scikit-Learn for machine learning applications : data science fundamentals with Python /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
10
Deep reinforcement learning hands-on: apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more /
Book
11
The art of feature engineering : essentials for machine learning [E-Book] /
12
Python machine learning : a practical beginner's guide for understanding machine learning, deep learning and neural networks with Python, Scikit-Learn, TensorFlow and Keras /
Book
13
Python machine learning for beginners : handbook for machine learning, deep learning and neural networks using Python, Scikit-Learn and TensorFlow /
Book
14
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems /
Book
15
Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more /
Book
16
Python machine learning blueprints : put your machine learning concepts to the test by developing real-world smart projects, 2nd edition [E-Book] /
17
R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 [E-Book] /
18
Python machine learning by example : implement machine learning algorithms and techniques to build intelligent systems, 2nd edition [E-Book] /
19
Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more [E-Book] /
20
Python Machine Learning Cookbook : Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition [E-Book] /