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.
Course info
Rating
(219)
Level
Beginner
Updated
May 17, 2016
Duration
1h 54m
Table of contents
Description
Course info
Rating
(219)
Level
Beginner
Updated
May 17, 2016
Duration
1h 54m
Description

When working with data, machine learning can be used to do incredible things, including predicting future events. Its ease of use combined with the power of scikit-learn is causing Python to become the preferred development language for many machine learning practitioners. In this course, Understanding Machine Learning with Python, you will learn how Python developers and data scientists use machine learning to predict the likelihood of events based on data. Throughout this course, you will use Python and the scikit-learn library. Specifically, you will learn how to format your problem to be solvable, how to prepare your data for use in a prediction, and finally how to combine that data with algorithms to create models that can predict the future, all performed in the Jupyter Notebook environment. By the end of this course, you will have a better understanding of how machine learning can help you put your data to good use in predicting future events, and you'll also know how to use Python to make it happen.

About the author
About the author

Jerry Kurata is a Solutions Architect at InStep Technologies.

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Transcript
Transcript

Hi! My name is Jerry Kurata and welcome to my course Understanding Machine Learning with Python.

These days, Machine Learning is all around us. From helping doctors diagnose patients to assisting us in driving our cars. As we go about our day, we may be utilizing machine learning applications and not realize it. It silently scans our inboxes for spam emails, and ensure that stores are stocked with the goods we want to buy, when we need them.

This course will:

  • Introduce you to Machine Learning: Introduce you to Machine Learning and the technology behind it. You will see why companies are in such a rush to use Machine Learning to grow their business and increase profits.
  • Teach you to build predictive models: You will learn how developers and Data Scientists use Machine Learning to predict events based on data. Specifically, you will learn how to format a problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future.
  • Utilize the Python language: Throughout this course we will utilize Python and a number of its libraries that make creating machine learning solutions easy. However, you do not need prior experience with Python. In this course we learn by doing, and the code we use will be explained as we create our solution.

By the end of this course you will know the how, when, and why of building a machine learning solution with Python. You will have the skills you need to transform a one line problem statement into a tested prediction model that solves the problem.

I look forward to you joining me on this journey of͞Understanding Machine Learning with Python from Pluralsight.