How To Load Machine Learning Data From Files In Python
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The common data format in Machine Learning is a CSV file (comma separated values). In this Tutorial I show 4 different ways how you can load the data from such files and then prepare the data. I also show you some best practices on how to deal with the correct data type, missing values, and an optional header. The 4 approaches are:
with the csv module
with numpy: np.loadtxt() and numpy.genfromtxt()
with pandas: pd.read_csv()
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