RIIAA Escuela18

My edits and code related to the Higgs Boson dataset Deep Learning competition of the 2018 International Artificial Intelligence meeting at UNAM

My final submission consisted of:

The model accuracy consistently topped out at around 170 epochs of training time.

The IAmigos_RIIAA_Reto_Machine_Learning.ipynb file was the winning submission from another team. This model used Sklearn's GBClassifier.

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
Hyperparameter_tuning		Hyperparameter_tuning
techniques		techniques
1-Intro a Data wrangling.ipynb		1-Intro a Data wrangling.ipynb
2-Intro a Machine Learning.ipynb		2-Intro a Machine Learning.ipynb
3-Intro a DeepLearning (redes).ipynb		3-Intro a DeepLearning (redes).ipynb
3-Intro a DeepLearning Final Submission.ipynb		3-Intro a DeepLearning Final Submission.ipynb
Dockerfile		Dockerfile
Higgs_results_100.png		Higgs_results_100.png
IAmigos_RIIAA_Reto_Machine_Learning.ipynb		IAmigos_RIIAA_Reto_Machine_Learning.ipynb
LICENSE		LICENSE
README.md		README.md
RIIAA_XGBoost.ipynb		RIIAA_XGBoost.ipynb
TEMP_es_final_text_classification_with_tf_hub.ipynb		TEMP_es_final_text_classification_with_tf_hub.ipynb
environment.yml		environment.yml
iris.csv		iris.csv
requirements.txt		requirements.txt

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