Unlock the power of artificial intelligence with this course on machine learning. Learn how to build and deploy models using popular algorithms like decision trees, neural networks, and support vector machines. The course also covers essential concepts such as data preprocessing, model evaluation, and the practical application of machine learning techniques for real-world problems.
Master foundational and advanced Machine Learning and NLP concepts.
Apply theoretical and practical knowledge to real-world projects using Machine Learning and MLOps.
Understand and implement mathematical principles behind ML algorithms.
Develop and optimize ML models using industry-standard tools and techniques.
Understand the core intuition of Deep Learning, such as optimizers, loss functions, neural networks, and CNN.
