IIHT’s Machine Learning course is designed to help learners have a deep understanding of machine learning theory and understand how predictive models are run by systems to forecast behavior and trends using existing data.
DurationIIHT’s Machine Learning course is designed to help learners have a deep understanding of machine learning theory and understand how predictive models are run by systems to forecast behavior and trends using existing data.
Learners will be able to evaluate machine learning algorithms and build various machine learning models and implement various regression techniques. Upon completing the course learners will gain a thorough understanding of the concepts, enabling them to analyse data to predict outcomes.
Learning Outcomes:
ICHNP:- is an industry endorsed course in IMS. It completely focuses on the current industry needs. It has a learner-centric courseware and gives a clear understanding of technologies with a very simple approach
This comprehensive course covers the fundamentals of Machine Learning including supervised and unsupervised learning algorithms, model evaluation, feature engineering and more.
Fastest Growing Technology in the Industry Generally With High Pay Packages. As name suggest it is Science that works with Data to Extract meaningful extracts out of data. Data can be in form of flat files, database, hadoop etc.
This will be a more advanced exploration of the libraries that developers will have been exposed to, deep learning, additional models, operationalization concerns of these systems, and the often-forgotten security aspects of data-driven systems.
Machine learning training focuses on the development of programs that can change when exposed to new data. We have trained many students in machine learning with Python and AI who are working in reputed companies. It is a great opportunity for students to join this company.
It is a multi-paradigm programming language. A Swiss Army Knife for the coding world. packages like NumPy, SciPy, Pandas, Matplotlib, and Scikit-learn are the major libraries for data science. python is high in scalability and has good graphics & visualization, so it's a major for data science.
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