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Sources for the Network Science Cheatsheets
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
- notebooks
- pyspark-notebook
- juypter-notebook
- spark
lecture notes for probabilistic topic models using ipython notebook
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
- tensorflow-lite
- tflite
- computer-vision
- deep-learning
A demonstration tutorial of using aiida-quantumespresso
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.