Predictive modeling with Python

Jure Žabkar

Thu, 25 April 2024

This workshop is an introductory hands-on course on doing a machine learning project in Python. It is aimed at students and professionals who want to learn the basics of data preparation, classification, regression, and model evaluation using the state-of-the-art machine learning library scikit-learn.

Familiarity with Python will be helpful, but programming skills in any other programming language would do as well.

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15:30 - 17:30

• Introduction to regression and classification
• Basic examples of scikit-learn on artificial data set

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17:30 - 18:00

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18:00 - 20:00

Step-by-step modeling with California Housing data set.

• introducing the workflow,
• visualization,
• feature selection,
• feature construction,
• learning regression models,
• evaluation.

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Prerequisites

The most elegant way to install the required software is by installing Conda. You can either install:

• the entire set of packages in Anaconda or

• Miniconda first, and manually add packages scikit-learn, pandas and matplotlib:

  conda install -c intel scikit-learn
  conda install pandas matplotlib