
You will learn the skills you need to develop and evaluate regression models that allow you to make quantitative predictions.
Languages and libraries :
PREREQUISITES
Good knowledge of python, basic understanding of machine learning practice.
AUDIENCE
Those who wish to take their data science skills further and learn state-of-the-art techniques in this constantly evolving field.
Get in touch with us to learn more about the course!
DAY ONE
Regression Analysis
DAY TWO
Time Series Analysis
Case Studies
Learning Outcomes:
KATE Projects:
- Classification and Model Selection: Build a supervised learning model to predict the success of Kickstarter campaigns.
- Time Series Analysis: Forecasting of daily energy consumption in London.
Get in Touch
Interested in learning more?
If you’re interested in what the ‘Linear Models and Time Series Forecasting’ module could do for your team or department, please complete the form to the right of this text and we’ll get back to you within two working days with more information.
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