https://github.com/jesussantana/advanced-machine-learning

Familiarize ourselves with Pipelines, grid search and text mining
https://github.com/jesussantana/advanced-machine-learning

gridsearchcv machine-learning pipelines pyforest python sentiment-analysis text-mining

Last synced: 7 months ago
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Familiarize ourselves with Pipelines, grid search and text mining

• Host: GitHub
• URL: https://github.com/jesussantana/advanced-machine-learning
• Owner: jesussantana
• License: mit
• Created: 2021-06-21T13:28:06.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-11T07:58:31.000Z (about 4 years ago)
• Last Synced: 2025-01-11T12:34:01.528Z (9 months ago)
• Topics: gridsearchcv, machine-learning, pipelines, pyforest, python, sentiment-analysis, text-mining
• Language: Jupyter Notebook
• Homepage:
• Size: 15.3 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# [IT Academy - Data Science with Python](https://www.barcelonactiva.cat/es/itacademy)

## [S16 T01: Advanced machine Learning](https://github.com/jesussantana/Advanced-Machine-Learning/blob/main/notebooks/S16_T01_Advanced_Machine_Learning.ipynb)

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### Description

Familiarize ourselves with Pipelines, grid search and text mining.

### Level 1

- Exercise 1: 

  - Take the data set you want and do a pipeline and a gridsearch using the Random Forest algorithm.

- Exercise 2: 

  - Take a text in English that you want, and calculate the frequency of the words

### Level 2

- Exercise 1: 

  - Remove stopwords and stemming your dataset.

### Level 3

- Exercise 1: 

  - Perform sentiment analysis on your dataset.

### Targets

- Use pipelines and grid search

- Perform text mining