Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. The objectives of this course are as follows:
➼ To provide basic technical skills for Machine Learning
➼ To learn and implement Machine Learning algorithms
➼ To introduce important application areas of Machine Learning such as Image Recognition, Speech Recognition, Traffic prediction, Product recommendations, etc.
➼ To impart necessary research and technical writing skills
➼ To implement end-to-end hands-on Machine Learning projects
➼ Strong theoretical foundation of the fundamental concepts by professors & researchers from IITs, IIITs, NITs, and other institutes of international repute.
➼ Hands-on coding practice and project development in guidance of Industry experts, Research Scholars and Top-level programmers.
➼ Regular interaction, assignments, quizzes, and evaluations.
➼ Networking opportunity with participants reputed institutes and industries.
➼ Opportunity to work on end-to-end projects and assistance in resume, portfolio building.
➼ A chance to publish research papers and participate in international conferences.
➼ Continuous assistance during the course and after that, lifetime access to the learning material, including Slides, software, codes, and other resources.
➼ Introduction to packages in Python
➼ Tuples, Set, Dictionaries & Functions
➼ Numpy, Scipy, Pandas, EDA
➼ Supervised and Unsupervised Learning
➼ Statistics, Hypothesis Testing, Distributions
➼ Association Rule Mining and Recommendation System
➼ Linear Regression, Logistic Regression
➼ Decision Tree, Random Forest
➼ Naïve Bayes Classifier, Support Vector Machines
➼ Basics of Neural Network and Deep Learning
Server Deployment using Flask
Projects and Assignments
By the end of this certification course, the participants should be able to:
➼ Possess essential programming skills for Machine Learning
➼ Understand the basic know-how about Machine Learning
➼ Understand a wide variety of Machine Learning & Machine Learning algorithms
➼ Understand how to pre-process the data and evaluate the models generated from data
➼ Apply these algorithms to real-life problems, communicate their results in technical reports
Moreover, they will also acquire a course competition certificate on completing the assigned project.
Sample Course Certificate: Coming soon...