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Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
This course is also a part of our Data Analyst Nanodegree.
To succeed in this course, you must be proficient at programming in Python and basic statistics. If you need a refresher on any of these topics, you can check out these courses:
Intro to Computer Science (You should know basic data structures and control statements, and be able to write and import functions.)
One additional course that would be nice to have is Intro to Data Science, as this will get you familiar with scientific problem-solving. However, completion of that class isn't required for success. We will also use a tiny bit of git, which you can also learn about on Udacity.
One thing that we don’t require is previous exposure to machine learning. If you’re a machine learning beginner, you’re in the right place.
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Nanodegree Program . Beginner
4 MODULES . 4 PROJECTS
5 months (10 hrs / week)
Udacity's Machine Learning Foundation Nanodegree is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more! This Nanodegree helps you learn Python and Statistics. It consists of 4 projects and is perfect for beginners in the field of data.View Details