Tutorial on evaluating polynomials using Python. Learn how to program a Python function to evaluate a polynomial expression, graph a polynomial over a given range and learn about real world applications for polynomials.
------Video Chapters------ 0:00 - Intro 0:11 - Definition of polynomial 0:27 - Definition of a quadratic function 1:29 - Evaluating a polynomial (example 1) 3:27 - Graph a polynomial (example 2) 5:48 - Vertex (maximum or minimum) of a quadratic function 8:03 - Application: Measuring the Gas Mileage of a Car 8:50 - Measuring the average gas mileage with varying speeds (question 1) 11:07 - Calculating the optimal speed for the most efficient gas mileage (question 2) 12:56 - References and additional learning ... https://www.youtube.com/watch?v=q-2ih3j608Y
Tutorial introducing stochastic processes and Markov chains. Learn how to simulate a simple stochastic process, model a Markov chain simulation and code out the n-step transition matrix for a Markov chain.
GitHub repo containing the notebook under "Python YouTube Tutorials" - 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
0:24 - Definition of stochastic process
1:15 - Simulating a stochastic process with gambler's ruin
7:40 - Probability of gambler's ruin
11:26 - Definition of Markov chains
14:17 - Markov transition graph
15:38 - Coding a Markov chain simulation
23:15 - Memorylessness of Markov chains
24:05 - Simulating an n-step transition matrix
29:21 - Stationary distribution of a Markov chain
31:16 - 2-step transition matrix given an initial distribution
33:42 - References and additional learning
...
https://www.youtube.com/watch?v=WT6jI8UgROI
Tutorial on extracting metadata using Python. Learn how to extract metadata using Pillow, search for metadata such as the date/time a photograph was taken and plot the location where a photograph was taken.
The notebook can be found in the "Data Science with Python" folder within the below repo. GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/blob/main/Data%20Science%20with%20Python/Extracting%20Metadata/Data_Science_with_Python!_Extracting_Metadata_from_Images.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
0:27 - Definition of metadata
0:57 - Uploading and displaying an image within the notebook
1:46 - Function to extract metadata from a photograph
3:54 - Extracting the date & time a photograph was taken
4:25 - Function to extract the location where a photograph was taken
8:44 - Plotting the location with ipyleaflet
10:16 - Images with missing metadata
11:07 - Removing metadata from a photograph
12:20 - References and additional learning
...
https://www.youtube.com/watch?v=JYvhn3Vp0Tk
Tutorial on encrypting and decrypting PDFs with Python.
The notebook can be found in the "Python" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/tree/main/Python/PDF%20Encrypt%20Decrypt
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
0:29 - Reviewing PDF that will be encrypted
0:51 - Installing and importing PyPDF2
1:16 - Saving the PDF filename into a variable
2:23 - Encrypting a PDF file
4:11 - Decrypting a PDF file
5:04 - References and additional learning
...
https://www.youtube.com/watch?v=_b96G79IahQ
Tutorial on searching for text within a PDF on Google Colab.
The notebook can be found in the "Google Colab Tutorials" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/tree/main/Google%20Colab%20Tutorials/Searching_a_PDF
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
0:24 - Installing pdfgrep in Google Colab
1:12 - Uploading PDFs to Google Colab
1:22 - Searching for a term/phrase within a PDF
2:42 - Searching for pages containing term/phrase within a PDF
3:27 - Count the number of times a term/phrase occurs within a PDF
4:13 Case insensitive search for a term/phrase within a PDF
4:52 - Searching for a term/phrase within a secure PDF
5:42 - References and additional learning
...
https://www.youtube.com/watch?v=jtZ7PcXSsww
Tutorial on modeling a Polynomial Regression in Python. Learn about the difference between linear and non-linear functions, create a Polynomial Regression from scratch and compare the accuracy of a Polynomial Regression to a Simple Linear Regression.
Link to Simple Linear Regression Tutorial: https://youtu.be/_pOsCecLGts
Link to Mean Squared Error Tutorial: https://www.youtube.com/watch?v=tJpzKILW-Kg
GitHub repo containing the notebook under "Machine Learning Workshops" - 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
0:29 - Linear functions and polynomials
3:14 - Non-linear functions
7:58 - Simple linear regression on a non-linear data set
11:06 - Polynomial regression
20:16 - Comparing the mean squared errors
21:31 - References and additional learning
...
https://www.youtube.com/watch?v=T-hTR77lel4
Tutorial on modeling dividend discount models within Python. Learn how to scrape financial data and create Gordon growth & Multistage dividend discount models.
The notebook can be found in the "Finance with Python" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/tree/main/Finance%20with%20Python
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
0:41 - Definition of dividend discount model
1:35 - Definition of Gordon growth model
4:38 - Cost of equity calculation
9:20 - Dividend growth rate calculation
10:51 - Modeling the Gordon growth model
12:18 - Varying the parameters of the Gordon growth model
15:08 - Definition of multistage dividend discount model
16:51 - Modeling the multistage dividend discount model
27:28 - Varying the parameters of the multistage dividend discount model
28:56 - Testing our Python function with different stocks
32:24 - References and additional learning
...
https://www.youtube.com/watch?v=G5ko7rLqjhk