Machine Learning Training New Batches from 27th Sep, Enroll for 30% off!

JanBask TRAINING IS A PROPELLOR OF FUTURE-proof job skills like MACHINE LEARNING AND OTHER TO GLOBALLY SITUATED CAREER ENTHUSIASTS VIA: * Real-field experts as trainers  * Real businesses case studies, assignments * Accessible live mentors-led classes * Rich and diverse learning resources * Interview & career guidance To see you achieve the in-demand certifications and bag that growing job role! WHY MACHINE LEARNING TRAINING FOR A GROWING IT CAREER? Machine Learning jobs were categorized as the best job of last year with a 344% growth & an average base salary of $146,085 per year. WHEN YOU GET MACHINE LEARNING TRAINING WITH US, YOU GET: * Complete support & learnings to qualify the popular Machine Learning certifications and be a pro at the Machine Learning roles. * Learning of real field concepts like supervised & unsupervised learning, algorithms, regression, time series modeling, Regular expression, Exceptional Handling & Debugging, and a lot more. Machine Learning training batches are starting from27h September, get 30% off on enrolling today! MACHINE LEARNING COURSE WITH EVERYTHING * Learnings to crack ML certifications * Real businesses ML projects * Basics to advanced ML concepts * Free demo & course counseling * Customized class timings & fee model * ML Training Completion Certificate * Job resume & interview support * 24/7 course/career support TRAIN FROM REAL ML ENGINERS! * Get live mentoring for ML real-time projects  * Experience mentors unfolding real-insights of the market * Get balanced practical + theoretical learnings * Exclusive preparation for in-demand certifications & job roles * Certifications and job applying process New batches for Machine Learning from 27th September with a great 30% off! REACH OUT: For MACHINE LEARNING TRAINING FREE DEMO CLASS SIGNUP - https://www.janbasktraining.com/machine-learning [https://www.janbasktraining.com/machine-learning]  Have unattended queries? Write to us at training@janbasktrainig.com or call us on +1 202 599 3842.