Build an online project portfolio with your project code and video explaining your project. This is shared with recruiters.
The live interactive sessions will be delivered through online webinars. All sessions are recorded. All instructors are certified data science professionals with 8+ years of industry experience
Lab will test your practical knowledge. Assignments include data exploration, data pre-processing and data validation using Python and evaluating the best models. The projects will give you a complete understanding of each machine learning algorithm
Once you enrol for machine learning online course, you are welcome to participate in any future batches free. If you have any doubts, our support team will assist you in clearing your technical doubts
If you opt for the project track, you will get 6 thirty minute one-on-one sessions with an experienced data scientist who will act as your mentor
For any doubt clearance, you can use:
In the last module, DeZyre faculty will assist you with:
The best way to learn machine learning is to implement it yourself. The machine learning projects included in the course will help you enhance your applied machine learning skills while giving you an opportunity to explore interesting data-related problems. Plus, these machine learning projects can be incorporated into your portfolio, making it easier to land a machine learning job, find cool machine learning career opportunities, and even negotiate a higher salary.
In the DeZyre 1-1 mentor track, you will be assigned an Industry mentor, who will oversee your ML project and guide you throughout the duration of the project. You will get 6 thirty minute of 1-1 sessions with the mentors.
This online machine learning course will expose you to various Classification, Clustering and Regression data-related problems by providing hands-on experience working with any of the three open datasets listed below -
This ML course will focus on practical knowledge more than mathematical or theoretical rigor. This does not imply that we would water down the content. However, the course gives more preference to the practical and applied aspects of machine learning algorithms. For every machine learning algorithm, the faculty would provide examples with case studies to show how these algorithms are used in the real world.
DeZyre’s machine learning course curriculum is comprehensive and in-depth that covers everything from machine learning basics to implementation of advanced machine learning algorithms. It is one of the best machine learning developed in partnership with certified data science professionals who have years of experience working with data science technologies since their inception. The course curriculum is updated on a regular basis with latest and relevant topics.
You will be learning from industry experts who have 8+ experience working in the industry.
Click on the Request Info. Button on top of the page and to request a callback from one of our career counsellors to have your query resolved. If you need instant support, click on the Live Chat option.
All our course live classes are recorded for future reference by our students. The recordings for the class are available in your inbox, once you login to DeZyre’s learning management system (LMS) platform. You can learn through the recordings and reach out to the faculty if you have any doubts. You can also repeat any class in the subsequent machine learning course batches.
It is on a best effort basis that DeZyre helps you prepare for the interviews but does not guarantee placements.
You can always ask doubts of the previous class in the subsequent class. Students can always connect with the faculty or also schedule a one-to-one call. Most of your doubts might get easily answered on the discussion forum. Still, if you have problem with the class then anytime you can repeat the class with other batches.
DeZyre offers corporate discounts for the online machine learning training based on the number of students enrolling for the course. Contact us by filling up the Request Info. Form on the top of the machine learning training page. Our career counsellors will get back to you at the earliest and provide you with all the required details.
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
* Work with Data Scientists and Business Analysts to frame problems within a business context.
* Build data pipelines that pull data from various sources
* Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
* Develop services that host the trained models and work with other application teams to integrate them into business processes
* Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect dom...