Netkom Learning



In this course, we will be reviewing two main components:
First, you will be learning about the purpose of Machine Learning and where it applies to the real world.
Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

By just putting in a few hours a week for the next few weeks, this is what you’ll get.
1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy
2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.
3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.

Python is an object-oriented programming language notable for its clarity, power, and flexibility.
Python is an interpreted language, meaning that an interpreter reads and runs the code directly, rather than compiling it down into static lower-level code.
While it is used in a variety of fields and contexts, including performance computing, the Internet of Things, and full-scale web applications, it has gained particular popularity in the sciences and bioinformatics thanks to a rich catalog of tools such as iPython, Numpy, and Pandas.


There are no reviews yet.

Be the first to review “ADVANCED MACHINE LEARNING”

Your email address will not be published. Required fields are marked *