https://github.com/ficaan/data-analysis-with-python-2023_2024-mooc.fi
These are all the solutions for exercises from Data Analysis with Python 2023/2024, a course offered by the University of Helsinki, Finland.
https://github.com/ficaan/data-analysis-with-python-2023_2024-mooc.fi
data-analysis machine-learning mooc-fi programming python
Last synced: about 1 month ago
JSON representation
These are all the solutions for exercises from Data Analysis with Python 2023/2024, a course offered by the University of Helsinki, Finland.
- Host: GitHub
- URL: https://github.com/ficaan/data-analysis-with-python-2023_2024-mooc.fi
- Owner: FicaaN
- Created: 2024-08-10T17:02:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-18T18:22:12.000Z (over 1 year ago)
- Last Synced: 2024-08-19T18:25:40.387Z (over 1 year ago)
- Topics: data-analysis, machine-learning, mooc-fi, programming, python
- Language: Python
- Homepage: https://courses.mooc.fi/org/uh-cs/courses/data-analysis-with-python-2023-2024
- Size: 4.32 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# **Data Analysis with Python 2023/2024 | University of Helsinki, Finland**
**DISCLAIMER**: **_The solutions that I have provided are my way of solving the exercises and are not necessarily the shortest, most efficient and clean-code looking like._**
This course is from University of Helsinki's **free** Massive Open Online Course (MOOC), from the _Department of Computer Science_.
The course consists of **seven chapters**, with its own set of exercises.
**Chapter 1 - Python**
- Python (Part 1)
**Chapter 2 - More Python and NumPy**
- Python (Part 2)
- NumPy (Part 1)
**Chapter 3 - More NumPy, Images, Libraries, Pandas**
- NumPy (Part 2)
- Matplotlib
- Image Processing
- Pandas (Part 1)
**Chapter 4 - More Pandas**
- Pandas (Part 2)
**Chapter 5 - Still More Pandas and Machine Learning**
- Pandas (Part 3)
- Machine Learning: Linear Regression
**Chapter 6 - Machine Learning Types**
- Naive Bayes Classification
- Clustering
- Principal Component Analysis
**Chapter 7 - Project Work**
- Project Work