Machine Learning (Python)

Description

This course is designed to help you learn how to build and evaluate machine learning models using the scikit-learn library and using them for prediction and decision making. In this course, you will also learn a bit about deep learning models by building neural networks, and also using pretrained models from the transformers library. This course would look at:

• Machine Learning Intuition
• Supervised Models
• Unsupervised Models
• Deep Learning Models – Neural Networks
• Deep Learning Models – Pretrained Models

Note:

These are online classes which would be held between 4pm – 11pm to accommodate professionals who work between 9am – 5pm GMT, without having to take days off to meet up with these classes.
For classes that spill over into the weekend, the time interval would be between 11am – 6pm.
These time schedules can be made flexible depending on the size of the class and other factors, so please reach out to us with any availability requests that you may have.