Awesome Courses

Introduction

There is a lot of ~~hidden~~ treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lectures, notes, readings & examinations available online for free.

	## Follow this link for further updates to Github Desktop for Ubuntu https://github.com/shiftkey/desktop/releases/latest
	# UPDATE (2022-11-07): Thanks to Sxvxgee's message, the updated code is as follows

	sudo wget https://github.com/shiftkey/desktop/releases/download/release-3.1.1-linux1/GitHubDesktop-linux-3.1.1-linux1.deb
	### Uncomment below line if you have not installed gdebi-core before
	# sudo apt-get install gdebi-core
	sudo gdebi GitHubDesktop-linux-3.1.1-linux1.deb


	# UPDATE (2021-10-18): Thanks to Amin Yahyaabadi's message, the updated code is as follows

Geek-a-Byte / broken_pipe_error_solution.py

Created February 15, 2023 12:48

	# https://stackoverflow.com/questions/58935672/i-get-brokenpipeerror-errno-32-broken-pipe-error-in-python
	from requests.exceptions import ConnectionError

	def retry_on_connectionerror(f, max_retries=5):
	retries = 0
	while retries < max_retries:
	try:
	return f()
	except ConnectionError:
	retries += 1

Geek-a-Byte / debug_by_compare_h5_files_models.py

Last active February 12, 2023 17:48

	!pip install nexusformat # one time run

	import nexusformat.nexus as nx
	f = nx.nxload('/content/sample.h5')
	print(f.tree)

	## or

	global_model = load_model('/content/sample.h5')
	global_model.summary()

Geek-a-Byte / download_file_from_google_drive_from_streamlit.py

Created February 12, 2023 17:41

	import requests

	def download_file_from_google_drive(id, destination):
	URL = "https://docs.google.com/uc?export=download"

	session = requests.Session()

	response = session.get(URL, params = { 'id' : id }, stream = True)
	token = get_confirm_token(response)

Geek-a-Byte / download_and_load_model_from_drive.py

Created February 12, 2023 13:39

	!pip install gdown==3.6.0
	my_file_id = "1-5qd5G2e9Y5AvgHRkeXncNvgcC-N783J"
	!gdown https://drive.google.com/uc?id={my_file_id}

Geek-a-Byte / save_model_to_drive_from_colab.py

Created February 12, 2023 13:38

	import tensorflow as tf
	from tensorflow.keras.models import load_model

	from google.colab import drive
	drive.mount('/content/gdrive')

	model_save_name = "test.h5"
	path = F"/content/cervical_cancer_global_model.h5"
	%cp "{path}" "/content/gdrive/MyDrive/Thesis_A_10/global_model_weights/{model_save_name}"

Geek-a-Byte / google_drive_create_update_files_through_streamlit.py

Last active February 12, 2023 17:38

	%%writefile app.py
	from __future__ import print_function

	import streamlit as st
	from googleapiclient.errors import HttpError
	from googleapiclient.http import MediaFileUpload
	from googleapiclient.discovery import build
	from oauth2client.service_account import ServiceAccountCredentials
	import os

Geek-a-Byte / streamlit_colab_ngrok.py

Last active May 1, 2023 05:10

	# https://www.youtube.com/watch?v=MUD-pBOnvdo&t=8s&ab_channel=1littlecoder

	#install streamlit, one time execution
	!pip install streamlit

	#import streamlit
	import streamlit as st

	# Commented out IPython magic to ensure Python compatibility.
	# %%writefile app.py

Geek-a-Byte / lazy_classifier_colab.py

Created February 9, 2023 14:59

	!pip install pyforest
	!pip install lazypredict

	import pyforest
	import lazypredict
	from lazypredict.Supervised import LazyClassifier

	clf = LazyClassifier(verbose=0, predictions=True, ignore_warnings=False, custom_metric=None)
	models, predictions = clf.fit(X_train, X_test, y_train, y_test)

Nazia Shehnaz Joynab Geek-a-Byte

Awesome Courses

Introduction

Table of Contents