A decent guacamole is not an easy thing to prepare. It demands knowledge of the ripeness state of diverse vegetables (avocados, tomatoes, onions, lime...), of the precise proportion of each ingredient to be mixed and, of course, of the ideal moments to eat it (always??).

Just like guacamoles, making good Data Science requires a plethora of theoretical knowledge and practical experience, combining the right methods in the right proportions. Here I'll document my journey through the guacamolic Data Science world.

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