Assignment #12 due 5/9/25

 

Assignment #12 due 5/9/25

Build 4 graphs using machine learning - linear regression

I want two separate publicly traded companies e.g. AAPL & AMZN

Linear regression graph for 1 year and 2 year periods

Send the code in email and links to the graphs on your cloud storage bucket.

https://uconnstamfordslp.blogspot.com/p/machine-learning-regression.html

Assignment #11 due 4/25/25

 

Assignment #11 due 4/25/25

  Using the Codelab on Sentiment Analysis

https://uconnstamfordslp.blogspot.com/p/nlp-codelab.html

NLP Codelab   Using the Natural Language API with Python Codelab NLP Welcome to Cloud Shell! Type "help" to get started. Your Cloud Platform project in ... uconnstamfordslp.blogspot.com



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% |           |

Assignment #10 due 4/11/25

 

https://uconnstamfordslp.blogspot.com/p/vision-example-explained.html

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 

Assignment #9 Due 4/4/25

 

Assignment #9 Due 4/4/25

Create a linux shell program to state

Name

Major

Graduation Year

What you want to do?

High school you went to?

Town you live in?

Favorite subject growing up?

What are you passionate about?

Favorite band or musician?

Favorite song?

What company or organization would you like to for for?

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

shell script exercise using standard output redirection



Leveraging Assignment 1

john_iacovacci1@cloudshell:~/scripts (uconn-engr)$ ./my_profile
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

Assignment #8 due 3/28/25

 Assignment #8 due 3/28/25

 Turn on IAP for the project that you created for assignment 6 (Python CRUD)

Adjustment for configurations at the end of the document.

Add the email john.iacovacci1@gmail.com as a PRINCIPAL.

Set a firewall rule.

use sniping tool to copy firewall rule.

Send me app engine link and image from the firewall rule.

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

Adjunct Professor John Iacovacci

University of Connecticut, Stamford

John.Iacovacci@uconn.edu