Skip to content

Latest commit

 

History

History
40 lines (22 loc) · 1.37 KB

README.md

File metadata and controls

40 lines (22 loc) · 1.37 KB

IT Academy - Data Science with Python

S16 T01: Advanced machine Learning

forthebadge made-with-python

Made withJupyter

Linkedin: JesusSantana

GitHub JesusSantana

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