This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation.The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today.
What are the course deliverables ?
28 hours of Instructor Led Training
2 industry projects in Cloudlabs environment
Expertise in Supervised and unsupervised learning
Introduction to deep learning and Spark machine learning
180 days access to high quality self-paced learning content designed by industry experts
90 days access to 1+ instructor-led classes
Who should do this course ?
Analytics professionals who want to work in machine learning or artificial intelligence
Data Science professionals who already have experience in R or Python
Professionals working in e-commerce, search and other online consumer based organizations
Software professionals looking for a career switch in the field of analytics
Graduates looking to build a career in Data Science and machine learning
Experienced professionals who would like to harness machine learning in their fields to get more insight about customers
Good Guidance, easy to understand the way trainer is explaining. I learnt machine learning concept & so far the training is going well. I am exiting to complete this course and waiting to get a job in machine learning..Its good place to learn online course.
You are being redirected to our partner site Udemy.com to register and make payment in US Dollars($)
Frequently Asked Questions
How to get certified ?
To get Machine Learning certification, you will need to submit one of the projects and after successful evaluation by the trainer you will receive the certification. .
What are the System Requirements ?
To run Python, your system needs to fulfil the following requirements:32 or 64-bit Operating System,
1GB RAM. The training requires R or Python. We have the installation instructions as a part of the training. We will also have a cloudlabs setup for you to access and do hands-on training to prevent installation and maintenance hassles.
How can I take this course?
This course is completely online and in the form of modules. You do not have to go to any classroom in any place for taking this course. You need an Internet connection and a computer/laptop/mobile/tablet only.
Do I get a certificate on taking this course?
On completing the course, you will get a course completion certificate from Simplilearn. Simplilearn is the World’s Largest Certification Training Provider, with over 400,000+ professionals trained globally and trusted by the Fortune 500 companies as their learning provider for career growth and training.
Do I get a refund in case I do not like this course?
We have 7 days exchange policy. Please send email to services@naukri.com in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
I have some other question. Where can I get help?
Please send email to e-learning@naukri.com or call our toll-free number 1800-103-4702.
How do I login to the course?
Once you have enrolled for the course, you will get an email from Simplilearn containing the login details.
How many courses can I take?
As many as you want! You can plan your time and decide on any number of courses.
Are there any academic prerequisites?
No, all you need is keen interest to learn. We encourage learners of all ages, backgrounds, experience and place of residence to take the course.