Machine Learning with Python | Data Science Tutorial for Beginners
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!
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
#Python #MachineLearning #Morioh
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