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Beginning Data Science with Python and Jupyter

Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.

Hands-On Deep Learning Architectures with Python

Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures.

Hands-On Reinforcement Learning with Python

The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration.

Python Deep Learning for Beginners

This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps.

Python Machine Learning Cookbook - Second Edition

With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach.

Python Machine Learning - Third Edition

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.

Understanding Machine Learning with Python

Use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment.

Data Science with R

Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.

Learn Python | Pluralsight

Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability. It's a dynamically typed and garbage-collected language that supports structured, object-oriented, and functional programming.

Business Analytics Foundation With R Tools Tutorial

This is a tutorial about Business Analytics Foundation With R Tools offered by Simplilearn. The tutorial is part of the Data Science with R Language Certification Training course and will help understand the basics of data science and business analytics with types and learn its importance.

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