moreymat / ecm-cse-csds

Course material for "Computer science and data science", MScT CSE at Centrale Marseille

ecm-cse-csds

Course material for "Computer science and data science", MScT CSE at Centrale Marseille.

Most slide decks, plus a notebook, are from the Machine learning preparatory week @PSL.

Evaluation

• Quiz
• Assignment 2
• Assignment 3

Week 1

• Lecture : Data : The data in data science
• Lab : Python basics adapted from the "Machine learning preparatory week @PSL"
  • Python
  • NumPy

Week 2

• Lecture : Python and pandas : Tabular data in Python
• Lab : Notebook on European past floods

Week 3

• Lecture : Machine Learning: history, applications, recent successes from the "Machine learning preparatory week @PSL"
• Lab :
  • Loading big datasets
  • Analyzing big datasets

Week 4

• Lecture : Introduction to machine learning from the "Machine learning preparatory week @PSL"
• Lab :
  • Dimensionality
  • Dimensionality reduction : Principal Component Analysis
  • Classification

Week 5

• Lecture : Supervised machine learning models from the "Machine learning preparatory week @PSL"

Week 6

• Lecture : Scikit-learn: estimation and pipelines from the "Machine learning preparatory week @PSL"
• Lab :
  • finish the previous notebooks

Project

Presentation, description and modeling

References

Python for data science

• Programming in Python for Data Science
• Scientific Computing in Python: Introduction to NumPy and Matplotlib
• Python Data Science Handbook

Python for geo data science

• Geo-Python course
• Automating GIS-processes

License

The code in this repository is made available under the MIT license unless otherwise noted.

The slide decks in this repository are published under the terms of the CC BY-SA 4.0 license.