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https://www.eventshigh.com/detail/bangalore/a56b4cfa41875065685976df8852d792-machine-learning-course-in-bangalore

Machine Learning Course in Bangalore - With Simplilearn Solutions Pvt Ltd

12.9029436,77.6481225
Sat, 26 Oct 7:30PM - Mon, 2 Dec
Manoj Arcade , south bangalore
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Rs 18999
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OVERVIEW

Introduction to Machine Learning Course in Bangalore

Machine Learning automates the data analysis process and allows computers to learn and adapt through experience. Simplilearns Machine Learning course in Bangalore will make you proficient in the techniques and concepts involved in Machine Learning. These concepts include mathematical and heuristic aspects, supervised and unsupervised learning and hands-on modeling to develop algorithms. With these concepts, you can be well-prepared for the role of a Machine Learning Engineer.

Cost: Starting from Rs. 18999/- only

Enroll Now: https://www.simplilearn.com/machine-learning-certification-training-course-bangalore-city

Course Objectives of Machine Learning Course in Bangalore

This Machine Learning online course will provide you with insights into the vital roles played by machine learning engineers and data scientists. Upon completion of this course, you will be able to uncover the hidden value in data using Python programming for futuristic inference. You will work with real-time data across multiple domains including e-commerce, automotive, social media and more. You will learn how to develop machine learning algorithms using concepts of regression, classification, time series modeling and much more.

Skills You Will Learn With Machine Learning Course in Bangalore

  • Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modeling
  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
  • Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
  • Implement models such as support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
  • Validate machine learning models and decode various accuracy metrics. Improve the final models using another set of optimization algorithms, which include Boosting & Bagging techniques
  • Comprehend theoretical concepts and how they relate to the practical aspects of machine learning
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Manoj Arcade # 53/1 C, 24th Main, Harlkunte, 2nd Sector, HSR Layout, Bangalore - 560102, Karnataka, India.
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