![]() It’s the go-to library for Data Scientists, especially in Kaggle competitions. An underlying C++ codebase combined with a Python interface sitting on top makes it super fast and easy to use. XGBoost is an open source library providing a high-performance implementation of gradient boosted decision trees. So what can all this awesome sounding hardware and software do? So having all the software pre-installed was a big relief to avoid the big hassle. Getting the GPU drivers and CUDA to work with any of the above libraries can be even tougher. Installing TensorFlow from source can be a major challenge.
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