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    Python: RF regressions, Stratified Sampling, Pipelines, K-fold cross validation, Fine-tuning through grid search.

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    R: Applying convnets for computer vision (multiclass classification) - with Keras/Tensorflow. MNIST: The 'Hello World' of Deep Learning.

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