Machine Learning from Scratch - Python Tutorials - How To Load Machine Learning Data From Files In Python

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This course includes

4.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Python Machine Learning ML From Scratch ML Python ML Tutorial numpy

Full Transcript

Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook 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() 📓 Notebooks available on Patreon: https://www.patreon.com/patrickloeber ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN If you enjoyed this video, please subscribe to the channel! The code and all Machine Learning tutorials can be found here: https://github.com/patrickloeber/MLfromscratch You can find me here: Website: https://www.python-engineer.com Twitter: https://twitter.com/patrickloeber GitHub: https://github.com/patloeber #Python #MachineLearning