This repository was made for the challenge proposed by Codenation to enter AceleraDev Data Science.
The challenge context revolves around the results of ENEM 2016 (available in the file train.csv).
The model is fed by the test.csv file that predicts the math test score (column NU_NOTA_MT) of those who participated in ENEM 2016.
The answer is saved in a file called answer.csv with two columns: NU_INSCRICAO and NU_NOTA_MT.
In this challenge, were used:
- Python
- Pandas
- Numpy
- Matplotlib
- Sklearn
- Regression
To use this model it is necessary to install some libraries, which can be used when downloading Anaconda
You can clone the project using:
git clone https://github.com/ronaldogomes96/MathNotesOfEnem2016.git
After that, just run the project in Anaconda IDE, like Jupyter Notebook or Spyder.
If you want to contribute just open an issue informing the improvement or create a pull request.
Give a ⭐️ if this project helped you!
Copyright © 2020 Ronaldo Gomes