Python Machine Learning Tutorial (Data Science)

Python Machine Learning Tutorial - Learn how to predict the kind of music people like.

What you'll learn
What is Machine Learning?
Libraries and Tools For machine learning
A Real Machine Learning Problem
Learning and Predicting
Calculating the Accuracy
And more
Requirements
Python knowledge
Description
Welcome to the Introduction to Python Machine Learning course for beginners! This comprehensive machine learning course will give you a solid foundation with the Python programming language, and provide you with the essential tools and techniques to apply algorithms in real-world applications. We'll start off by exploring machine learning concepts and why they are so important before delving into hands-on examples in Python.
You'll get an introduction to:
What is Machine Learning?
Machine Learning in Action
Libraries and Tools
Importing a Data Set
Jupyter Shortcuts
A Real Machine Learning Problem
Preparing the Data
Learning and Predicting
Calculating the Accuracy
Persisting Models
Visualizing a Decision Tree
There will be plenty of opportunities to apply your new knowledge with working through guided code-throughs and implementing hands-on examples
By the end of this course you'll have obtained a practical skillset from which you can build upon - expect to finish this course feeling confident in your new ability to solve a variety of issues related machine learning. Whether it's for personal project or professional use – you have the tools now take make it real!
We've designed this course so even beginners can easily follow along with each step. Through structured activities and thoughtfully designed challenges, we'll ensure you have a complete understanding of every concept laid out in the lectures.

Who this course is for
Any one who want to learn python machine learning

Homepage

https://www.udemy.com/course/python-machine-learning-tutorial-data-science-d

Python Machine Learning Tutorial (Data Science) Fast Download
Python Machine Learning Tutorial (Data Science) Full Download