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In this post, we will explore 3 Free courses in different domains like Programming, Design, Data Science: Machine Learning, etc. These all courses will be all-time free. So let’s Explore!
3 Free Courses that will Boost your Career
This is the world’s best, Literally, world best Free course for Basic Computer Science. As of Fall 2014, the on-campus model of this Free Training has become the most important at Harvard.
You’ll discover ways to think algorithmically, clear up programming problems effectively, and come to be acquainted with some of the languages along with CSS, HTML, and personal home page. The magnificence is loose, but you can upload a HarvardX verified certificate for $90.
Gain a strong knowledge of website design and successfully publish your own website with this web development course. his free online e-business course will guide you through setting up a website for your business.
You will learn how to choose a web host, create an account for your business with that WebHost, register your domain name, and create a website that is user-friendly, responsive, and suitable to your business needs – helping you understand and break into the competitive world of online commerce. Start this free online course today to get started!
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
About this course
Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer-guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
What you’ll learn
- The basics of machine learning
- How to perform cross-validation to avoid overtraining
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful?
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