CA Astro - Data Science and ML Workshop
This set of tutorials can be best explained as:
Tutorials and notebooks dedicated towards teaching about Data Science and Machine Learning
Main Details
| Author | Victor Calderon - http://vcalderon.me |
| Dates | 13th and 14th of June, 2020 |
| Github Repo | https://github.com/vcalderon2009/2020_06_CA_Astro_Data_Science_Workshop/ |
| Documentation | https://vcalderon2009.github.io/2020_06_CA_Astro_Data_Science_Workshop/ |
 |
https://mybinder.org/v2/gh/vcalderon2009/2020_06_CA_Astro_Data_Science_Workshop/master |
 |
https://colab.research.google.com/github/vcalderon2009/2020_06_CA_Astro_Data_Science_Workshop/ |
Description
The following set of tutorials form part of the Tutorials Series hosted by “Central American - Caribbean Bridge in Astrophysics Program”.
In these tutorials, we will cover how to:
- Extract datasets
- Perform exploratory data analysis (EDA) of the datasets. This includes
- Extract summary statistics about the dataset
- Clean the datasets
- Transform columns to useful features
- Define and train a machine learning (ML) model using out-of-the-box utilities from Python packages.
- Determine the performance of the ML model
We will also discuss some common practices when dealing with ML models, as EDA best practices.