LEARN MACHINE LEARNING IN 3 HOURS TUTORIAL-OXBRiDGE
Genre:Training
Size: 413.91 MB
About This Video
|
| Get to grips with supervised and unsupervised Machine Learning
| by working with hands-on examples
| Implement Machine Learning solutions in Scikit-Learn and
| Python step by step
| Overcome real-world drawbacks such as overfitting and produce
| stable, generalizable, and effective solutions
|
| In Detail
|
| Given the constantly increasing amounts of data they're faced
| with, programmers have to come up with better solutions to make
| machines smarter and reduce manual work. In this Machine Learning
| course, you'll use Python to craft better solutions and process
| them effectively
|
| We start by focusing on key ML algorithms and how they can be
| trained for classification and regression. We will also work with
| Supervised and Unsupervised learning to help to get to grips with
| both types of algorithm. We will use the highly popular Scikit
| learn library throughout the course while performing various ML
| tasks
|
| By the end of the course, you will be adept at using the concepts
| and algorithms involved in Machine Learning. This is a highly
| practical course and will equip you with sufficient hands-on
| training to help you implement ML skills right after finishing the
| course
|
| All the code and supporting files for this course are available on
| Github at https://github.com/PacktPublishing/Learn-Machine
| Learning-in-3-Hours
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