Year 4, Q2 Machine Learning on kaggle

During Q1 one of the topics have been to learn about Artificial Intelligence, and after reading and listen several podcasts, I have decided that I would like to learn about Machine learning using Kaggle environment: python, jupyter notebooks, examples, a large community, competitions….

I have already completed the python course to refresh my knowledge and start this quarter on it.

The plan

So the V2MOM for this quarter will be:

  • Vision: Learn about Machine Learning on Kaggle.
  • Values: have fun, change habits day by day.
  • Method: do courses, advance in the novice roadmap, participate on a competition, write code, read code…
  • Obstacles:
    • Time.
    • Ariel’s surgery.
  • Measures:
    • Do at least 3 courses.
    • Listen at least 13 hours of podcasts related to Machine Learning.
    • Compete at least in one competition.

Death line = 30/June/2021

The results (July 2021)

  • Measures (Actual / target):
    • Course = python.
    • Course = Intro to Machine Learning.
    • Course = Data visualization.
    • From DotCSV channel: Aprende que son las redes neuronales (11 videos).
    • Podcast “Software 2.0“: 4 hours.
    • One notebook related to Sevilla Tourism.
    • About basis of Machine Learning:


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