https://github.com/e-candeloro/data-analysis-code-snippets-for-pandas-and-sklearn

These notebooks are useful to learn how to load, understand, clean and classify data using Pandas and Sklearn with Python
https://github.com/e-candeloro/data-analysis-code-snippets-for-pandas-and-sklearn

analysis big-data classification data datascience datavisualization machine-learning notebook numpy pandas python sklearn

Last synced: 21 days ago
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These notebooks are useful to learn how to load, understand, clean and classify data using Pandas and Sklearn with Python

• Host: GitHub
• URL: https://github.com/e-candeloro/data-analysis-code-snippets-for-pandas-and-sklearn
• Owner: e-candeloro
• License: unlicense
• Created: 2022-05-03T15:07:12.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-05-04T08:20:53.000Z (over 2 years ago)
• Last Synced: 2024-11-07T00:29:10.003Z (2 months ago)
• Topics: analysis, big-data, classification, data, datascience, datavisualization, machine-learning, notebook, numpy, pandas, python, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.09 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Analysis Snippets and Example with Pandas and Sklearn

In this repository there are two Python notebooks:

- one named 'Data Analysis Snippets" containing useful code I found/wrote to help with using Pandas and Sklearn

- one name 'Data Analysis + ML classification example' where I used Pandas and Sklearn to solve a data analysis and classification/evaluation problem

These notebooks are useful to learn how to load, understand, clean and classify data.

A csv dataset is present for the example notebook.

**NOTES**: 

- most of the code comments are in Italian but a lot of the snippets are self explanatory

- the example is taken from the exam of "Big Data Analysis" done at the University of Modena and Reggio Emilia

- the majority of this code is not mine and comes from various sources, therefore I take no credit to it and you are free to use it as is