Pinned Repositories
ADASYN
Adaptive Synthetic Sampling Approach for Imbalanced Learning
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
CNN-keypoints
machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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olivier-s-j's Repositories
olivier-s-j/TomekLink
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olivier-s-j/ADASYN
Adaptive Synthetic Sampling Approach for Imbalanced Learning
olivier-s-j/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
olivier-s-j/CNN-keypoints
olivier-s-j/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning
olivier-s-j/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.