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coreyk / dashboard.py
Created May 23, 2020 23:55 — forked from healeycodes/dashboard.py
# a simple dashboard for the waveshare 2in7b screen
# to be ran inside: https://github.com/waveshare/e-Paper/tree/master/RaspberryPi%26JetsonNano/python/examples
# 1. install the latest versions of `pyowm` and `requests`
# 2. edit `OPEN_WEATHER_KEY`, `LOCATION`, and `NEWS_API_KEY`
import sys
import os
picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic')
libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib')
if os.path.exists(libdir):
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coreyk / ml-recs.md
Created July 23, 2021 18:59 — forked from bsletten/ml-recs.md
Machine Learning Path Recommendations

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an