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X-Days-of-Data-Science-and-ML

Goal: The aim of this X days series is to keep a track of my learning process. I have tried learning Data Science & ML in bits and pieces in the past but this time I don't want to be distracted and lose track to what I learnt. I am not starting from the basic but from an existing knowledge of python and few python modules like matplotlib, pandas and Numpy. My goal is to first master data science before getting deep into ML.

Navigation:

  • There are folders corresponding to each day that I learn
  • today.txt file explains what I learnt and did throughout the day

Projects:

  • Sales data analysis [ Day 7&8]
  • 3D data visualization [ Day 11]
  • Car Dekho data analysis [ Day 12]
  • Russia Ukraine war data analysis [Day 12]
  • Anscombe's Quartet visualizatio [ Day 18]
  • Boston House Prices prediction using multi-variate regression [Day 20]
  • Cities in Nepal data scraping [ Day 23]
  • FIFA players data analysis [Day 31]
  • Boston Property Valuation tool [Day 32]

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