- π Currently working with Data Science, Data Viz and Machine Learning
- π± Actually I'm learning Streamlit/Flask/Django and Cloud π»βοΈ
- βοΈ and also I'm studying the Theory of Games and The SHAP Values in Machine Learning
- π― I'm trying to co work with others Data Scientist and other devs
- π€ I'm looking help with TensorFlow and Pytorch
- π I write a few articles in Medium
- π¬ Ask me anything about my projects!
- β‘ Curiosity: I'm photographer at the free time, check my instagram below! πΈ π and I like to play chess at my free time
β
Hi, everyone!
Data Scientist, Python enthusiast and coffee addict!
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- https://medium.com/@murilosez06
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Hyperparameter.py
Hyperparameter.py 1learning_rates = [1, 0.5, 0.25, 0.1, 0.05, 0.01]
2train_results = []
3test_results = []
4for eta in learning_rates:
5model = GradientBoostingClassifier(learning_rate=eta)
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Brazilian-Civil-Aviation-Agency-passengers-Demand
Brazilian-Civil-Aviation-Agency-passengers-Demand Public[TimeSeries] β Forecast Civil Aviation Passenger Demand
Jupyter Notebook
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