ICDSS Machine Learning Workshop Series: Machine Learning API
source scripts/setup.sh
- Linear Models
- Scientific Python (NumPy & SciPy)
- Neural Networks
In this workshop we will cover the most frequently used High-Level Machine Learning libraries,
scikit-learn
and keras
.
The focus of this workshop will be on how to the implementation of abstract models in code,
using the universal fit
-predict
-score
pattern most machine learning APIs follow.
Multiple sandbox projects will be attempted, including multivariate regression, classification and time-series forecasting.
MIT License
Copyright (c) 2018 ICDSS
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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