1
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 
2
Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
3
Practical deep learning : a Python-based introduction /
Book
Subject (ZB): ...Python (programming language)...
Table of Contents 
4
Python machine learning for beginners : handbook for machine learning, deep learning and neural networks using Python, Scikit-Learn and TensorFlow /
Book
5
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
6
Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, second edition [E-Book] /
7
Python machine learning by example : implement machine learning algorithms and techniques to build intelligent systems, 2nd edition [E-Book] /
8
Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more [E-Book] /
9
Python machine learning blueprints : put your machine learning concepts to the test by developing real-world smart projects, 2nd edition [E-Book] /
10
Mastering machine learning on AWS : advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow [E-Book] /
11
Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python [E-Book] /
12
Mastering Machine Learning with R : advanced machine learning techniques for building smartapplications with R 3.5, Third edition [E-Book] /
13
Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras [E-Book] /
14
Python Machine Learning Cookbook : Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition [E-Book] /
15
R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 [E-Book] /
16
C# machine learning projects : nine real-world projects to build robust and high-performing machine learning models with C# [E-Book] /
17
TensorFlow machine learning projects : build 13 real-world projects with advanced numerical computations using the Python ecosystem [E-Book] /
18
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x, second edition [E-Book] /
19
Python machine learning by example : easy-to-follow examples that get you up and running with machine learning [E-Book] /
20
Machine learning for OpenCV : a practical introduction to the world of machine learning and image processing using open CV and python [E-Book] /