Encoding Categories

Encoding Categories

To be able to undertake machine learning, data needs to be formatted so that the machine learning algorithms can use it. This video shows how to encode a target variable containing character descriptions to numerical values.

Become a Patron and support this channel:-

https://www.patreon.com/user?u=9926749

References:

Part 1 to 4, “Reading an Excel spreadsheet with Pandas”

https://www.youtube.com/watch?v=2M6gP1foFxg&list=PLEHiyJfYrr_R3IDOUsf6yXJrQHjtWQayb&index=5

Note the parameters h1, h2, h3 and h4 were renamed to col_desc_row_0, col_desc_row_1, col_desc_row_2, col_desc_row_3 and col_desc_row_4 in the current video for clarity.

Pandas Link

http://pandas.pydata.org/talks.html

http://pandas.pydata.org/pandas-docs/stable/


Matplotlib Citation

@Article{Hunter:2007,
Author = {Hunter, J. D.},
Title = {Matplotlib: A 2D graphics environment},
Journal = {Computing In Science \& Engineering},
Volume = {9},
Number = {3},
Pages = {90--95},
abstract = {Matplotlib is a 2D graphics package used for Python
for application development, interactive scripting, and
publication-quality image generation across user
interfaces and operating systems.},
publisher = {IEEE COMPUTER SOC},
doi = {10.1109/MCSE.2007.55},
year = 2007
}

Spyder 3 Link

https://pythonhosted.org/spyder/

Make blobs reference

http://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.htm #sklearn.datasets.make_blobs