Let Data Speak Using Regression & Plots

from pathlib import Path

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

Other Meetings in this Series

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Data is arguably more important than the algorithms we'll be learning this semester - and that data almost always needs to be curated and finagled to really develop an understanding of what the data is trying to tell you.

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With some basic ideas in mind about how one might tackle a task, we'll now go and explore a Tensor framework (PyTorch) and build a Neural Network which can accurately classify handwritten digits, as well as articles of clothing.

Contributing Authors