26/12/2023
Do you want to learn how to create intelligent systems that can learn from data and make predictions? Do you want to boost your career prospects in the fast-growing field of artificial intelligence? Do you want to join a community of passionate learners and experts who can guide you along the way?
If you answered yes to any of these questions, then you should enroll in the Machine Learning Training for Nigotech Academy. This is a comprehensive and practical course that will teach you the fundamentals of machine learning, as well as how to apply them to real-world problems. You will learn how to use popular tools and frameworks such as Python, TensorFlow, Keras, Scikit-learn, and more. You will also work on hands-on projects and assignments that will help you build your portfolio and showcase your skills.
By the end of this course, you will be able to:
Understand the concepts and techniques of machine learning, such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, and more.
Implement and evaluate various machine learning algorithms, such as linear and logistic regression, k-nearest neighbors, decision trees, random forests, support vector machines, neural networks, deep learning, and more.
Use machine learning to solve real-world problems, such as image recognition, natural language processing, sentiment analysis, recommendation systems, and more.
Communicate and present your findings and insights effectively using data visualization and storytelling.
The Machine Learning Training for Nigotech Academy is suitable for anyone who has a basic knowledge of mathematics and programming, and who wants to learn more about machine learning and artificial intelligence. No prior experience in machine learning is required.
The course will start on January 31, 2024 and will last for 12 weeks. The classes will be held online via Zoom, and the timings will be flexible to accommodate your schedule. The course fee is N200,000 only, and you can pay in installments.
If you are interested in joining this course, please contact us via 00815 139 9217