https://github.com/crispengari/ml-data-loading

💎 This is a simple quick guide on working with files in pandas. We will be working with the following types of files and learn how to read and write using the pandas library.
https://github.com/crispengari/ml-data-loading

ai dataframe datascience jupyter-notebook machine-learning numpy pandas python

Last synced: about 2 months ago
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💎 This is a simple quick guide on working with files in pandas. We will be working with the following types of files and learn how to read and write using the pandas library.

• Host: GitHub
• URL: https://github.com/crispengari/ml-data-loading
• Owner: CrispenGari
• License: mit
• Created: 2021-02-25T18:34:06.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-11-17T13:09:41.000Z (3 months ago)
• Last Synced: 2024-11-17T14:19:21.942Z (3 months ago)
• Topics: ai, dataframe, datascience, jupyter-notebook, machine-learning, numpy, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 5.78 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
### ML Data Loading

In this repository we are going to have a series of notebook on how we can load data from files in python tailored for machine learning tasks.

1. [`00_PANDAS`](/00_PANDAS/)

2. [`01_PySpark`](/01_PySpark/)

### Documentation References

Here are the documentation references.

1. [PySpark](https://spark.apache.org/docs/latest/api/python/index.html)

2. [Pandas](https://pandas.pydata.org/docs/index.html)