Category: Python

Question One Imagine you are designing a logo for a company that will appear both online and in printed materials. Which color model would you choose for each medium, and why? Discuss the advantages and challenges of working with these color models. When creating a logo that must look impeccable both on screens and in…

Scenario Instructions You area Pre-Bus Analytics & Info Sys major who has gotten a job working with a company that makes ATM machines. Create software that will provide an ATM user with the proper change for any dollar amount up to $200. Example: Run the code for $19, $55, and $200.

Turn in Assignment 2 on canvas, uploading one script file per exercise (the assignment contains 10 short exercises). You need access to Jupyter Notebook and you will likely need access to the server provided to me by the school. If you have a California VPN, it would help. Do not make it look professional and…

i uploaded a pdf showing how the assignment should be done the same formate but with the critera i just uploaded and the pdf is just a refrance for how the work should be done

Scenario Instructions You are an Integrative Animal Biology major who is working in a lab where you have to process all of the materials that we have received. Decode a UPC code from a large animal sling and print its various parts. A UPC code consists of a 1-digit number, a 5-digit manufacturer’s code, a…

Scenario Instructions You are an Integrative Animal Biology major who is working in a lab where you have to process all of the materials that we have received. Decode a UPC code from a large animal sling and print its various parts. A UPC code consists of a 1-digit number, a 5-digit manufacturer’s code, a…

Use k prototypes clustering algorithm to develop a general regression model based on cluster centroids. the visualization and analysis of clusters should be included.

Use k prototypes clustering algorithm to develop a general regression model based on cluster centroids. the visualization and analysis of clusters should be included.

You are using the housing dataset from Week 3 to perform non-hierarchical clustering. Supported by a brief description of each of the steps and screen prints, complete the following steps: Import the dataset into your Jupyter Notebook. Rename the Jupyter Notebook to “Clustering” Apply the K-Means algorithm. Perform exploratory data analysis on the data (descriptive…

Optimize and fine-tune the neural network parameters (the code is already written) to improve the frame-level speech recognition classification using a neural network model based on input MFCC (Mel Frequency Cepstral Coefficients) data. The task is to classify the specific phonemes in the audio frames and eventually submit a prediction result in .csv format to…