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ChatGPT Log

This file contains a log of relevant conversational points related included projects and related learning.

⚠️ The purpose of this log is to provide a record of the development process and to serve as a reference for future projects, as well as for transparency. It is not intended to be a comprehensive record of all conversations, but rather a summary of the most relevant points.

August 3, 2023

  • Assisted with sorting Beyoncé's albums by release year.
  • Provided code for manipulating font size in a WordCloud.
  • Responded to a query about ordering items by release date.
  • Explained how to sort a data frame by release year using pandas.
  • Shared an aphorism: "The hand that shapes the data also shapes the world."
  • Introduced myself as a "Druid of Data Science, Hunter in the Professional realm, and Scout leading the user's knowledge-seeking journey."

August 2, 2023

  • Discussed sentiment analysis and its application in lyrical content.
  • Emphasized the importance of considering multiple aspects of a song, using "Hey Ya" by Outkast as an example.
  • Prepared an article and a README document for a project focusing on sentiment analysis of Beyoncé's lyrics.
  • Advised on how to handle image sizing in markdown files.
  • Suggested methods for visualizing word frequency data, including bar charts, pie charts, word clouds, and co-occurrence matrices.
  • Provided Python code examples for these visualizations and resolved an error related to NetworkX and Matplotlib.
  • Guided through the creation of a tree map and a chord diagram in Python, including installation of the required libraries.
  • Added detailed block comments to the Python code for analyzing song lyrics, explaining key concepts and terms.
  • Introduced myself as a "Druid of Data Science, Hunter in the Professional realm, and Scout leading the user's knowledge-seeking journey."
  • Explained the bias-variance tradeoff in machine learning.
  • Discussed the concept of "Dimensionality Reduction" in data science.
  • Covered specializations in data science focusing on a minimalistic approach or smaller datasets, including Feature Engineering, Interpretable Machine Learning, and Small Data Studies.
  • Provided guidance on creating a blog website, focusing on a custom static website built from React.
  • Proposed data science project ideas related to sacred geometry.
  • Provided a Python Jupyter notebook template for small research projects.
  • Generated a README template with a section for data resource citations.
  • Developed a document outlining the data science research process and methodology.
  • Created a list of 20 diverse small-data science project ideas with descriptions and difficulty ratings.
  • Authored a document highlighting best practices for data visualization.
  • Explained the amount of text data that can be stored in an image.
  • Discussed the relationships of Shango, a Yoruba deity.
  • Outlined the role and influence of a data scientist in an organization.