This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. The emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models. The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.
This course is part of the Professional Development Certificate in Data Science and Machine Learning.
PrerequisitesPre-requisite Course: YCBS 255
Applies Towards the Following Programs
- Professional Development Certificate in Data Science and Machine Learning : Required Courses