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smstclair's Projects

cintel-01-interactive icon cintel-01-interactive

We'll implement a working interactive web app written in Python running in the browser. We'll do all the work in the Shiny Playground in our browser (e.g. Chrome). Then we'll create a new GitHub repo to store our project code (we won't host a Pages app yet) - we'll use the Shiny Playground links and screenshots to share our work.

cintel-07-tdash icon cintel-07-tdash

PyShiny Template for Basic Dashboard using Penguins (adjusted for GitHub Pages)

datafun-02-projsetup icon datafun-02-projsetup

Develop a Python module that demonstrates proficiency in loops, project folder creation using pathlib, and importing modules. This module should include reusable functions for creating sets of project folders based on various criteria.

datafun-03-analytics icon datafun-03-analytics

The project involves fetching data from the web, processing it using appropriate Python collections, and writing the processed data to files.

datafun-04-jupyter icon datafun-04-jupyter

Project 4 uses a combination of Python and Markdown to create an initial data story in a Jupyter Notebook. The project includes a project virtual environment with popular libraries for data analytics including pandas, matplotlib, and seaborn, and introduces a common process for starting exploratory data analysis projects.

datafun-05-sql icon datafun-05-sql

Project 5 integrates Python and SQL, focusing on database interactions using SQLite. This project introduces logging, a useful tool for debugging and monitoring projects, and involves creating and managing a database, building a schema, and performing various SQL operations, including queries with joins, filters, and aggregations.

datafun-06-eda icon datafun-06-eda

Project 6 is an opportunity to create your own custom exploratory data analysis (EDA) project using GitHub, Git, Jupyter, pandas, Seaborn and other popular data analytics tools.

datafun-07-ml icon datafun-07-ml

Project 7 aims to employ a type of supervised learning, simple linear regression, to train a model using all available data and use the resulting model (a "best-fit" straight line) to make predictions.

smstclair icon smstclair

Sean's profile repo, currently a student taking course 'Continuous Intelligence and Interactive Analytics'

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