Pandas, numpy, scipy, sklearn, along with advanced techniques of their application. Basic integrations of python with external libraries like xgboost, tensorflow, pytorch along with data wrangling and some hyperparameter optimization methods will be also included. Jupyter notebook usage and tricks will be also given as an organic part of the course. At the end of module, everyone is expected to be ready to come up with a simple data wrangling system.
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Pandas, numpy, scipy, sklearn, along with advanced techniques of their application. Basic integrations of python with external libraries like xgboost, tensorflow, pytorch along with data wrangling and some hyperparameter optimization methods will be also included. Jupyter notebook usage and tricks will be also given as an organic part of the cou…
Burntt/Python_for_Data_Science
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Pandas, numpy, scipy, sklearn, along with advanced techniques of their application. Basic integrations of python with external libraries like xgboost, tensorflow, pytorch along with data wrangling and some hyperparameter optimization methods will be also included. Jupyter notebook usage and tricks will be also given as an organic part of the cou…
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