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Python Guide
- Clear Introduction to Python Programming and Machine Learning
- Lu par : Jim D Johnston, Darcey Kobs
- Durée : 5 h et 46 min
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Description
Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved.
Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.
Here’s what you will learn:
- Important machine learning concepts and applications
- The difference between supervised and unsupervised learning
- Commonly used supervised and unsupervised learning algorithms and models
- What libraries you will benefit from using
- How to visualize your data
- Regression and classification learning models
- An introduction to data science
- The five-step plan to becoming a data scientist
- Ten things that everyone needs to know about machine learning
You’ll even get a complete hands-on project that takes you through building your own machine learning project.
What you won't get is a lesson on using Python programming language; this book requires that you already know the basics.
So, if you are interested in taking your programming even further, scroll up, buy now, and start a new journey of discovery.