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๐Ÿค– Machine Learning School Project: A Python adventure in predicting stay lengths! Harnessing pandas, sklearn, and a dash of midnight oil, it's a fun dive into the world of AI and data. ๐ŸŽ“๐ŸŒฒ

Python 100.00%

machine-learning-project's Introduction

๐Ÿค– Machine Learning School Project: "Because Machines Need Education Too!" ๐ŸŽ“

Hey there! Welcome to my (absolutely not created last night) school project where I tackled the age-old problem of... length of stays. I mean, who wants to overstay their welcome? Certainly not me. And certainly not the 30,000 test cases we had.

๐Ÿค” What's Inside?

  • A couple of .csv files with mystery data. (Well, it's not THAT mysterious. One is for training, the other for testing. But let's keep the air of mystery going.)
  • A Python script that looks suspiciously like I actually did something!
  • My results, which prove that I didn't just watch Netflix while munching popcorn during the semester.

๐Ÿ“š How I Tackled the Project:

  • Loaded some data.
  • Preprocessed like a boss.
  • Trained using the mighty Random Forest Regressor because...trees, right?
  • Validated my model and saved it so it doesn't run away.

๐Ÿ”ง Tools & Libraries:

  • pandas: For handling my data and ensuring I don't get bamboozled.
  • joblib: Because who wants to train a model every single time?!
  • sklearn: My partner-in-crime for everything ML.

๐Ÿ•บ Fun Fact:

This project contains over 70,000 training cases. That's almost the population of a small city. They now know more about length of stays than most of us!

๐Ÿ˜‡ Credits:

This wonderful masterpiece is brought to you by Birkeland. Shout out to caffeine for making this possible!

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