The Python data science stack
- Pandas for data manipulation
- Numpy to speed up Python numerical processing
- Matplotlib for visualization
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Machine learning is a subset of artificial intelligence (AI) that provides systems with the ability to learn and improve from experience, without a need for explicit instructions. while a simple concept, machine learning has opened a world of possibilities and today it being used across various industries for a multitude of functions whether this be improving customer experiences through making personalised recommendations to predicting future values of a stock price.
This three-day hands-on class is designed for those wanting eager to get a start in data science and machine learning and will walk you through the core python data science tools, the Scikit-Learn machine learning toolkit, and explore practical concerns for machine learning with python, including data cleansing, pre-processing, and evaluation.
At the end of the course you will have a solid foundation in machine learning and data science. Your understanding will be put to the test on day 3 in which you will participate in a 'machine learning hackathon.
Introduction to Python Programming
Data Science and Machine Learning: Mathematical and Statistical Methods
The last day will be a hands-on project where students will form small teams and work on a solution to a machine learning problem, applying the ideas and tools they've learned during the course.