https://github.com/jesussantana/sampling
Perform Data Sampling with Python
https://github.com/jesussantana/sampling
preprocessing python random-sampling reservoir-sampling sampling smote-sampling stratified-sampling systematic-sampling
Last synced: 3 months ago
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Perform Data Sampling with Python
- Host: GitHub
- URL: https://github.com/jesussantana/sampling
- Owner: jesussantana
- License: other
- Created: 2021-04-19T10:04:32.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-01T15:10:18.000Z (about 4 years ago)
- Last Synced: 2025-01-11T12:33:38.252Z (5 months ago)
- Topics: preprocessing, python, random-sampling, reservoir-sampling, sampling, smote-sampling, stratified-sampling, systematic-sampling
- Language: Jupyter Notebook
- Homepage:
- Size: 5.04 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# IT Academy - Data Science with Python
## Sprint 6: Sampling Methods[](https://www.python.org/)
[](https://jupyter.org/try)
[](https://wakatime.com/badge/github/jesussantana/Sampling)### Description
Learn how to sample data with Python.### Level 1
- Exercise 1:
- Grab a sports-themed dataset you like. Performs a sampling of the data generating a simple random sample and a systematic sample.
### Level 2- Exercise 2:
- It continues with the sports theme data set and generates a stratified sample and a sample using SMOTE (Synthetic Minority Oversampling Technique).### Level 3
- Exercise 3:
- It continues with the sports theme dataset and generates a sample using the Reservoir sampling method.### Targets
- Preprocess
- Sampling