Machine Learning

Learn the fundamentals about Python!

Summary

Topics that will be covered:

Machine Learning:
  • Supervised vs Unsupervised Learning
  • Training, Validation and Test
  • Overfitting vs Underfitting
  • Models
  • k-Nearest Neighbours
  • Decision Tre 
  • scikit-learn
Requirements:
  • Your own laptop

  • Install Google Colab to your Google account before the workshop

  • Google Colab installed in Google Drive


  • Google account

  • Internet connectivity

sk2
 SciKit:

Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. (Documentation: https://scikit-learn.org/stable/index.html)

Details

Dates: 13.06.2022 (6pm - 8pm)



Format: online (Zoom link will be shared 15min before session begin)