/ds-intro

Hackbeanpot Introduction to Data Science Notebook

Primary LanguageJupyter Notebook

Example code for Stanley Wu's Intro to DS Workshop

Running Locally

After cloning, please make sure to have the Anaconda or Miniconda package management software installed.

Local environments and common ML packages are tricky when there are M1, M2, Intel, ... etc. processors out there that support different things. This process has been tested on the following systems and are known to work:

  • Apple Silicon Macs

Create Conda Environment

  1. conda update conda -y
  2. conda create --name ml-workshop python=3.8
  3. conda activate ml-workshop
  4. conda install --file requirements.txt

If step 4 fails, try the pip variant: pip install -r requirements.txt. Otherwise, the Google Colab Online Mirror option below is a safe alternative.

Google Colab Online Mirror

If you are having trouble getting this repository up and running, the jupyter notebook code is also hosted here on Google Colab. Make a copy and you are free to run the code without having to install anything on your local machine.

This code is adapted from Scikit-Learn's MNIST Example