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A beginner workshop on how to use logistic regression to identify dog and cat pictures

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HOTH 2018 ML Workshop

This is a beginner-friendly workshop on using logistic regression to classify images of dogs and cats. This workshop is based off of the Neural Networks and Deep Learning course on Coursera, taught by Andrew Ng. We highly recommend taking this course if you want to learn more about machine learning.

Prerequisites

  • basic computer science knowledge
  • knowledge of python syntax

Using Google Colaboratory

  1. Clone or download the repository
  2. Go to https://colab.research.google.com
  3. Click on new notebook
  4. Go to File -> upload notebook
  5. upload HOTH_2018_ML_Workshop.ipynb from where you saved the repository

Using a Jupyter Notebook

Required Dependencies:

  • Python 3
  • Jupyter
  • PyTables
  • Numpy
  • Matplotlib

You can install these using pip on Unix systems or Anaconda on Windows

  1. clone the repository
  2. open a command prompt or terminal window and cd to the directory where the repository is saved
  3. run jupyter notebook

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A beginner workshop on how to use logistic regression to identify dog and cat pictures

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