A library for debugging/inspecting machine learning classifiers and explaining their predictions
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An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
- tensorflow-lite
- tflite
- computer-vision
- deep-learning
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
- data-science
- model-explanation
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.