To run a simple linear forecast, type the "FORECAST.LINEAR" function, select the independent variable for the forecast, select the known dependent variables and finally select the known independent variables. To learn more about the function see the link below.
Brief tutorial on exporting a Google Colab Notebook to a PDF File using nbconvert. The video goes through two methods: exporting to HTML then to PDF format and exporting directly to PDF format. The code for each can be found below.
Method 1:
!jupyter nbconvert --to html /content/KNN.ipynb
Method 2:
!sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic
!jupyter nbconvert --to pdf /content/KNN.ipynb
The notebook can be found in the "Google Colab Tutorials" folder within the below repo.
GitHub Repo - https://github.com/tudev/Workshops-2020-2021
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
------Video Chapters------
0:00 - Intro
0:13 - Issue with printing notebook to PDF
0:46 - nbconvert package
1:07 - Uploading file to content folder
1:24 - Method 1: Converting the notebook to HTML then printing to PDF format
3:31 - Method 2: Directly converting the notebook to PDF format
5:33 - References
...
https://www.youtube.com/watch?v=-Ti9Mm21uVc
Borders Hotkey: Alt + h + b
Bold Hotkey: Ctrl + b
Italics Hotkey: Ctrl + i
Highlight Hotkey: Alt + h + h
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
Odysee: https://odysee.com/@adriandolinay:0
...
https://www.youtube.com/watch?v=ulck4VGOrhU
Brief tutorial on importing Jupyter notebooks as modules. Learn two different methods: the first method utilizes installing a package called import-ipynb and the second utilizes functions and classes found in the Jupyter User Documentation site.
Tutorial on Importing Python Scripts as Modules - https://www.youtube.com/watch?v=YP6APKLRf58&t=27s
The notebook can be found in the "Google Colab Tutorials" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
------Video Chapters------
0:00 - Intro
0:23 - Reviewing the notebook to be imported as a module
0:36 - GitHub documentation for Method 1
1:17 - Method 1: import_ipynb
2:23 - Reviewing Jupyter notebook documentation for Method 2
3:14 - Method 2: Utilizing functions/classes from Jupyter notebook documentation
3:52 - References and additional learning
...
https://www.youtube.com/watch?v=sJFHCQPxclw
A cowboy doghouse built for two special Boston Terriers: Charlie and Hannah.
|-Music Credit-|
ALMOST HEAVEN
royalty free Music by Giorgio Di Campo for @FreeSound Music
http://freesoundmusic.eu
https://www.facebook.com/freemusicfor...
https://youtube.com/freesoundmusic
original video: https://youtu.be/Hfc6-Y3Ol48
...
https://www.youtube.com/watch?v=zaDZ2vkq_Ac
Tutorial on working with pytrends package to access Google Trends within Python. Learn how to download data from Google Trends, evaluate trends across different countries and visualize the trend data.
The notebook can be found in the "Google Colab Tutorials" folder within the below repo.
GitHub Repo - https://github.com/tudev/Workshops-2020-2021
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
------Video Chapters------
0:00 - Intro
0:16 - Background on pytrends package
0:46 - Using Google Trends
2:37 - Loading in country codes data
3:42 - Most popular Google search topics by year
8:12 - Google searches trending today
9:35 - Interest for a set of search terms
14:09 - Visualizing geographic interest with Geopandas
15:34 - Interest of search terms over time
17:21 - Suggested key words given a search
18:30 - References and additional learning
...
https://www.youtube.com/watch?v=lexgDZ2WNWY
Tutorial illustrating two different methods to write Python dictionaries to CSV files.
Python Dictionary Tutorial - https://www.youtube.com/watch?v=EKWkRfbFRts&t=603s
GitHub repo containing the notebook under the "Python" directory - https://github.com/ad17171717/YouTube-Tutorials
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
Odysee: https://odysee.com/@adriandolinay:0
|-Video Chapters-|
0:00 - Intro
0:05 - Definition of a Python dictionary
0:53 - First method for writing a Python dictionary to CSV
2:36 Second method for writing a Python dictionary to CSV
4:35 - References and additional learning
...
https://www.youtube.com/watch?v=0wO3KdJOKN8
Tutorial on printing emojis with Python.
The notebook can be found in the "Python" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/blob/main/Python/Python!_Emojis.ipynb
CONNECT:
LinkedIn: https://www.linkedin.com/in/adrian-dolinay-frm-96a289106/
GitHub: https://github.com/ad17171717
Twitter: https://twitter.com/DolinayG
Odysee: https://odysee.com/@adriandolinay:0
Medium: https://medium.com/@adriandolinay
|-Video Chapters-|
0:00 - Intro
0:08 - Installing and importing the Emoji module
0:24 - Definition of Emoticons
0:50 - Printing emojis with Unicode
2:08 - Printing emojis with the Emoji module
3:44 - Printing emojis with Windows
4:26 - References and additional learning
...
https://www.youtube.com/watch?v=OoX5Xwwx6UY