Part 2, Linear Regression in Python with Jupyter—includes how to compute mean values using both custom functions and NumPy's built-in functions, obtaining regression coefficients, and how to calculate and visualize the best-fit line
#EngineersCode
Part 2, Linear Regression in Python with Jupyter—includes how to compute mean values using both custom functions and NumPy's built-in functions, obtaining regression coefficients, and how to calculate and visualize the best-fit line
#EngineersCode
Part 1 of a lesson on simple linear #regression with real data of earth temperature over time.
Bonus: how to create beautiful equations in #Jupyter with LaTeX and Mathpix
#EngineersCode
Part 1 of a lesson on simple linear #regression with real data of earth temperature over time.
Bonus: how to create beautiful equations in #Jupyter with LaTeX and Mathpix
#EngineersCode
This is for my "Engineering Computations" undergraduate course: #Python functions
#EngineersCode #Jupyter
This is for my "Engineering Computations" undergraduate course: #Python functions
#EngineersCode #Jupyter
"<img src=\"../images/variables.png\" style=\"width: 400px;\"/> \n",
However, nbsanity only supports embedded or remote images. That is intentional
"<img src=\"../images/variables.png\" style=\"width: 400px;\"/> \n",
However, nbsanity only supports embedded or remote images. That is intentional
I wrote a little lesson on using #JupyterAI for my students and colleagues, and my peeps everywhere.
go.gwu.edu/engcomp7less...
#Jupyter #OpenAI #EngineersCode
I wrote a little lesson on using #JupyterAI for my students and colleagues, and my peeps everywhere.
go.gwu.edu/engcomp7less...
#Jupyter #OpenAI #EngineersCode