Machine Learning Certification

AR Learners Machine Learning equips the participants with the knowledge and hands-on skills required for certification and job competency in machine learning. The demand for machine learning skills is growing quickly.

You will become proficient with machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.

Machine learning is taking over the world, and with that, there is a growing need among companies for professionals to know the ins and outs of machine learning.

Outcomes:

Acquire thorough knowledge of the statistical and heuristic aspects of machine learning

• Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modelling
• 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
• 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
• 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