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 class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.
PrerequisitesPre-requisite Course: YCBS 255
Applies Towards the Following Programs
- Professional Development Certificate in Data Science and Machine Learning : Required Courses