Intro to Data Analysis With Pandas & Numpy

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-fa18-learn-numpy-pandas").exists():
    DATA_DIR /= "ucfai-core-fa18-learn-numpy-pandas"
    # You'll need to download the data from Kaggle and place it in the `data/`
    #   directory beside this notebook.
    # The data should be here:
    DATA_DIR = Path("data")

Other Meetings in this Series

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Welcome back to SIGAI! We'll be re-introducing SIGAI for newcomers and refreshing it for veterans. Following that, we'll cover some basics of generating graphs (a very common task for data science and research). If you're enticed, we'll also get you setup on the university's supercomputer, as all following meetings will stream from there! :smiley:

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Neural Networks are all the rage, nowadays, but simpler models are always great places to start! We'll cover how to do Linear/Logistic Regression as well as preparing data for such a function to work.

Contributing Authors

John Muchovej
John Muchovej

Founder of AI@UCF. Researcher in cognitive science and machine learning. Focusing on intuitive physics and intuitive psychology.