Master Python skills to become a machine learning scientist Start Learning for Free 1. DataLab DataLab is DataCamp's cloud-based notebook that allows anyone to analyze data, collaborate, and share insights with
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This course is designed for someone who has limited time and it’s ideal for you if you want a fast paced introduction to Python. The instructor uses the Anaconda distribution of Python and writes code in Jupyter Notebook. She doesn’t skip over any of the building blocks of the language...
It is well-integrated with Python console and IPython Notebook. Pros: It is the smarter Python IDE with a great supportive community. It performs brilliantly for editing, debugging, and running. Cons: It requires a bit of tweaking of default settings to match with your project activities. It...
In short, one of the best Python tools for code collaboration. If you want to learn Python coding with Jupytor notebook, Andrei Negaoi's Complete Python Developer: Zero to Mastery course on Udemy is a great resource. best python tool for collaboration 3. Keras Keras is an ar...
8. Python for Data Science and Machine Learning Bootcamp In this course, you will learn how to use Python for Data Science and Machine Learning. This is for those who have already mastered the basics and don’t need to go through the foundations. To help you solidify your understanding, th...
We recommend checking out DataCamp’s Introduction to Python course for a primer on Python. 2. Python Data Science Handbook by Jake VanderPlas This comprehensive book written by Jake VanderPlas includes step-by-step guides for using the most popular tools and packages within the Python data ...
Books on data science and AI The Essential AI Handbook for Leaders presented by Peltarion, with a foreword by Marcus Wallenberg The book is organized into three sections. The first reveals the possibilities of AI and how we can use it for business and society. The second explains the fundamen...
Numsense! Data Science for the Layman: No Math Added “Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how...
About Computational and Inferential Thinking: The Foundations of Data Science, 2nd Edition PDF:This eBook was originally developed for the UC Berkeley course Data 8: Foundations of Data Science. In this book, You’ll learn about introduction to data science, programming in Python, classifications, ...