NA RHUL – IPAC – Discovery and learning with big data

February 28, 2023February 28, 2023 Discipline: Computer Science
Learning Goal: I’m working on a computer science question and need the explanation and answer to help me learn.

Hello,

Please answer the following questions as per the given guidelines

Instructions

Watchthe YouTube video (at least 10 minutes) and read the two articlesprovided to answer the questions listed below. Ensure your answers aredrawn primarily from the video and articles and cite your source foreach question.

Next, download and open the Assignment 6 Hands-On ipynb file in your Jupyter Notebook and run through the three exercises.

Questions

  1. In the YouTube video “Pandas for Data Science in 20 minutes,â€� what does the acronym CRUD stand for in the video?
  2. In the YouTube video ” Pandas for Data Science in 20 minutes,â€� what were the data types in the telco_churn file?
  3. In the YouTube video “Pandas for Data Science in 20 minutes,â€� the speaker used the describe method, list four of the results from the describe method for the variable “account length.â€� What is the purpose of the describe method?
  4. In the article, “Top 10 Python Libraries Data Scientists Should Know in 2022â€�, name one of the four libraries not discussed in class. Should the professor include this library in future lectures? Why or why not?
  1. Inthe article, “Top 10 Python Libraries Data Scientists Should Know in2022,” what libraries were SciKit-Learn designed from, according to theauthor? Why do you think the creator of SciKit-Learn used thoselibraries?
  1. The article, ” An overview andcomparison of free Python libraries for data mining and big dataanalysis,” identify two of the least used data visualization librariesdiscussed in the article. Why do you think they are used the least?
  2. Inthe article, “An overview and comparison of free Python libraries fordata mining and big data analysis,” the author discusses several deeplearning libraries. Which deep learning library list in the articlewould you want to use and why?

Hands-On

Use Jupyter Notebook to complete the Python exercises.

  1. Download Series, DataFrames, NumPy Arrays.ipynb file that includes three exercises. Complete the exercises and save your work. Upload your ipynb and pdf files.

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