Machine Learning Certification Training Course in United States

Machine learning is the subject wherein the machine learns by examples from the data sets similar to what humans do that is learned by examples. ML is part of artificial intelligence that makes the machine imitate work just like humans. ML consists of subjects such as Natural language processing, Chatbots, Personal assistants, Artificial Neural network and Vision, and image processing. All these form the basis for machine and human communication and other work done by machines.

• Make machine work for us by learning
• Imitate humans in actions
• Able to make error-free work
• Able to make machines do the work where humans cannot do
• Make machines do the work that is repetitive and monotonous
• Make machine communicate with humans to solve the problems
• Learning machine learning offers high salary and growth prospects
• Learning machine learning encompasses the work of training the machines
• Learning ML offers challenging jobs and taxing complex work of making machines do things.

Yes, it is a great idea for freshers to attend a training course to get placed in the right job. Given the current market scenario and the pandemic, it is a must that freshers should register for a machine learning course that has a good future scope. 

Register with Stragile and we will walk you through the process to make you a machine learning engineer with our well-organized machine learning online course curriculum.

The purpose of the machine learning online course is to provide a detailed idea about the following concepts and make you a data scientist with machine learning skills. 

• First things first, the course begins with providing an overview of the roles and responsibilities of a machine learning engineer 
• Detail about time series modeling 
• Provide experience to work with real-time data 
• How to automate the data analysis process using Python
• Explain all the tools for predictive modeling 
• Provide ways to implement a machine learning algorithm

• You will understand data science 
• How to extract data, wrangle data and visualize data 
• How to use Python and do better predictive modeling 
• Supervised, unsupervised learning 
• Regression analysis 
• Recommendation systems 
• Association rules 
• Time series modeling 
• Reinforcement learning 
• Boosting and bagging techniques

• Every developer who wants to become a machine learning engineer can attend the training and start applying their programming language to automate the system in data analysis 
• Analytics manager 
• Information Architects 
• Business analyst 
• Even freshers can attend the course to start their journey in machine learning and artificial intelligence

• Chatbot that answers the customer queries 
  
• Charge predictor for booking systems

• Knowledge of python programming language or at least some experience in coding using any object-oriented programming language 
• Understanding of data analysis tools like SAS or working knowledge of R programming is a plus 

However, anyone can apply for the course as the course covers all the basics, and thus becoming a machine learning engineer needs a college graduate degree and flair to learn.

As per the data collected from Glassdoor, Payscale, and Indeed sites, the following is the average base salary of Machine learning professionals in Bangalore 

• Entry-level professionals – 5 LPA
• 1 – 4 years experience – 6 – 7 LPA 
• 5 – 9 years experience – 10 -12 LPA 
• Senior professionals with 10+ years experience – 18 – 25 LPA

• Amazon
• Airbnb
• Accenture 
• Spotify
• Netflix 
• Google
• Walmart 
• IBM
• Deloitte
• Capgemini 

These are the few companies that constantly look for machine learning talents across the year. There are also startup companies which provide data prediction and analysis hire machine learning and data scientist in Bangalore. Close to 380 startups are there in Bangalore according to Crunchbase and Angel listing offering a greater job opportunity.

Bangalore city has more than 50% of the product company's Indian headquarters and there is a huge demand for machine learning jobs. Online learning has become a common practice in recent years and the Covid19 Pandemic has made it a need of the hour. Thus irrespective of the areas in Bangalore machine learning online courses are conducted across places that can be attended from across anywhere online.

The training includes lectures, study materials, access to recorded videos, mock tests, practical sessions, and projects. 

We also provide placement assistance and not guaranteed placement assurance. We provide you with contacts and being part of our community will allow you to exchange information with our alumni for a better placement opportunity. 

At the same time, we also collect your resume in our database to refer to jobs. 

We will provide you with guidelines to use Jupyter Notebook which is an open source web application that makes creating and sharing documents with live codes, equations, narrative text, and visualizations. 

Also, we will teach you to stay connected with us using the Cloud LAB environment. We always extend support through our 24/7 support system.

• 32-bit or 64-bit processor 
• Windows or Mac OS 
• Minimum of 8GB RAM
• Graphics processing unit – NVIDIA GeForce GTX 960

• Install Jupyter Notebook 
• Work on the live codes and equations 
• Share via Cloud Lab 

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There are 2 ways you can attend the training. If you want to connect with the trainer, interact and ask doubts then choose live virtual online classroom training. You can use the login Id given at the time of registration and join the class at the mutually agreed time and listen to live lectures.

We will provide you with access to recorded videos of every live lecture after the sessions and thus can make use of it to get hold of the missed sessions. Get in touch with your trainer for any doubts during business hours.

Our hiring process is fool-proof to assess the skills of the instructor. We do a background check of their industry and training experience. They also go through an interview process which includes many rounds to express their knowledge in machine learning. Industry experts with more than a decade of teaching experience are our base criteria to call trainers for our selection process.

We have a team of experts who extend their support to train you with a machine learning course. They guide you and help you clear the test, complete the project, and get certified. They provide you with inspirational ideas and review your project before approving your certification. They are your mentor available during business hours for clarifying your subject related doubts.

Login to your system from home. Join the online class with Staragile. Meet your trainer and other participants virtually. Listen to lectures, ask doubts, and exchange views. A classroom with participants from their respective places will still stay connected. 

Our team provides an answer to your queries via email, chat, and phone. You can follow the steps given below and reach us. 

• Visit Staragile Contact us page. Submit the form 
• Send an email with your query to [email protected]
• Call us 
• Click on Drop a Query 

However, for immediate reply chat with our Chatbot and to know how just visit www.staragile.com and you will see a pop-up waiting to help you.

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• Visit our website 
• Choose Data Science Courses
• Select the course you want to enroll for 
• Decide on the mode of training 
• Based on that you will get to know the fees 
• Pay using a credit card, debit card, Paypal, NEFT 
• Choose your training slots 
• Attend the class online 

• You can learn machine learning concepts from our expert trainers 
• Get access to recorded videos 
• Understand real-time data and work on practicals 
• Attend demo classes to get more knowledge 
• Take a mock test to prepare for the exam 
• Complete project get it to review by experts 
• Collect your certificate 
• Avail our placement assistance to get placed 
• Stay in touch with us for any future support

Visit our website to contact us via email, chat, or submit a query form. Call us to talk to our customer service representative.