https://github.com/lwdovico/human-activity-recognition
Second Data Mining Project - Using more Advanced Techniques
https://github.com/lwdovico/human-activity-recognition
data-mining-python machine-learning-algorithms
Last synced: 29 days ago
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Second Data Mining Project - Using more Advanced Techniques
- Host: GitHub
- URL: https://github.com/lwdovico/human-activity-recognition
- Owner: lwdovico
- Created: 2022-06-11T10:49:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-08-06T09:20:36.000Z (over 3 years ago)
- Last Synced: 2023-04-08T15:41:36.951Z (over 2 years ago)
- Topics: data-mining-python, machine-learning-algorithms
- Language: Jupyter Notebook
- Homepage:
- Size: 25.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# The Project
This was mainly a didactical project, the aim was to study to apply and learn the workings of some advanced topics in Data Mining and Machine Learning. I subdivided the work in 5 topics: EDA, Classification & Regression, Time Series Analysis & Sequential Pattern Mining, Advanced Clustering Techniques and Explainability. I wrote about the processes and results of these tasks in a final report called "Human_Activity_Recognition_Report.pdf" which I compiled with LaTex. The files "\*-notebook.ipynb", in the Notebooks folder, are the refined and reduced versions of the Jupyter Notebooks of the work I've done, divided by task.
Read the Report •
View the Dataset
EDA Code • Classification & Regression Code • Time Series & Sequential Pattern Mining Code • Advanced Clustering Code • Explainability Code