UCONN

UCONN
UCONN

Wednesday, April 17, 2024

Assignment # 11 Due 4/25/24

 Using the codelab on Sentiment Analysis




Take any paragraph of text and score it for sentiment and entity recognition.

Send me the output via email

Example

text = """Artificial intelligence may be one of the biggest technological leaps in history. It is poised to unlock new business models, transform industries, reshape people’s jobs, and boost economic productivity. Goldman Sachs is uniquely positioned to understand this fast-moving revolution. With our research across markets as well as our work with clients, we aim to provide meaningful analysis of this radical change and its implications for investors, companies, and the global economy."""


results


In [16]: show_text_sentiment(analyze_sentiment_response)

At sentence level:
   score | sentence
---------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
    +0.5 | Artificial intelligence may be one of the biggest technological leaps in history.
    +0.2 | It is poised to unlock new business models, transform industries, reshape people’s jobs, and boost economic productivity.
    +0.3 | Goldman Sachs is uniquely positioned to understand this fast-moving revolution.
    +0.4 | With our research across markets as well as our work with clients, we aim to provide meaningful analysis of this radical change and its implications for investors, companies, and the global economy.

At document level:
   score |   magnitude | language
---------+-------------+------------
    +0.4 |        +1.6 | en

In [17]:

for name

In [20]: show_text_entities(analyze_entities_response)
 name                    | type          |   salience | mid       | wikipedia_url
-------------------------+---------------+------------+-----------+---------------------------------------------
 Artificial intelligence | OTHER         |        22% |           |
 one                     | PERSON        |        22% |           |
 leaps                   | OTHER         |        18% |           |
 history                 | OTHER         |         7% |           |
 business models         | CONSUMER_GOOD |         3% |           |
 analysis                | OTHER         |         3% |           |
 productivity            | OTHER         |         2% |           |
 industries              | OTHER         |         2% |           |
 jobs                    | OTHER         |         2% |           |
 people                  | PERSON        |         2% |           |
 revolution              | OTHER         |         2% |           |
 research                | OTHER         |         2% |           |
 markets                 | OTHER         |         2% |           |
 change                  | OTHER         |         2% |           |
 implications            | OTHER         |         2% |           |
 Goldman Sachs           | ORGANIZATION  |         1% | /m/01xdn1 | https://en.wikipedia.org/wiki/Goldman_Sachs
 investors               | PERSON        |         1% |           |
 companies               | ORGANIZATION  |         1% |           |
 economy                 | OTHER         |         1% |           |
 work                    | OTHER         |         1% |           |
 clients                 | PERSON        |         1% |           |
 one                     | NUMBER        |         0% |           |

Sunday, April 7, 2024

Assignment #10 due 4/18/24

 Assignment #10 due 4/18/24






Load 5 python programs that will use Google Vision API to scan 5
separate images.


Note: need to use your own images and store them on your Google Storage Bucket

Download images from internet and store on your cloud storage bucket.

image_uri = 'gs://cloud-samples-data/vision/using_curl/shanghai.jpeg'

Example image_uri = "gs://jiacovacci/knicks.jpg"

Using text detect

'sphere\nNYC\nNEW YORK\n30\nNYC'           | (224,171),(403,171),(403,411),(224,411)
'sphere'                                   | (329,181),(350,180),(350,187),(329,188)
'NYC'                                      | (235,181),(267,179),(268,195),(236,197)
'NEW'                                      | (227,225),(285,217),(291,255),(232,264)
'YORK'                                     | (296,215),(363,206),(369,244),(301,254)
'30'                                       | (254,270),(345,267),(347,327),(256,330)
'NYC'                                      | (372,397),(399,389),(403,403),(376,411)

In [23]:

Send me the output from each run of the function in an email
Assignment 

Adjunct Professor John Iacovacci


Monday, April 1, 2024

Assignment #9 due 4/11/24

 

Assignment #9 due 4/11/24

https://uconnstamfordslp.blogspot.com/p/user-authentication.html


Create an app engine process designed around example 3

Change the index.html file to incorporate your name

E.g. <h1>John Iacovacci says Hello Verified User</h1>

Add my email address as a user john.iacovacci1@gmail.com with the proper role

Send me via email your app engine link


Sunday, March 24, 2024

Assignment #8 Due 4/4/24

 Create a text file called mydata.txt that consist of the lesson 1

shell script exercise using standard output redirection



Leveraging Assignment 1


Create a linux shell program to state name, major, what you want to do
and high school, favorite subject growing up, what i am passionate about


john_iacovacci1@cloudshell:~/scripts (uconn-engr)$ ./my_profile2
Hello my name is John Iacovacci

Email to john.iacovacci@uconn.edu



Redirect the data to a text file called mydata.txt using link below
https://uconnstamfordslp.blogspot.com/p/encrypt-and-decrypt-data-with-cloud-kms.html

Encrypt the file and email me both the mydata.txt file and the mydata.txt.enc



Wednesday, March 20, 2024

Assignment #7 due 3/28/24

 BigQuery

Select a Public Dataset from the available BiQuery DatasetsPick one of the Sample Queries availableRun the query
Export the output to a file
Email the file along with reason you picked the Dataset and explainthe data you are sending.

Wednesday, March 6, 2024

Assignment #6 due 3/21/24

 Assignment # 6 due 3/21/24


 https://uconnstamfordslp.blogspot.com/p/assignment-exercise-python-datastore.html 

Recreate the app engine project above and send me a working link from app engine screen.

Create a datastore entity called Custinfo 

Load programs per link Add your name to the html that the program displays 

Note: Need to have Google Translate API turned on in order to read data 

Email me me the app engine link

Wednesday, February 28, 2024

Assignment 10 due before grading

  Pick any stock and send me the linear regression chart for that stock. https://uconnstamfordslp.blogspot.com/p/machine-learning-exercise.h...