Mahlon Barrault's repositories
DAND-P0-Analyze-Chopstick-Legnth
You will install Python using an Anaconda distribution, which comes with IPython notebook, as well many popular Python packages for data analysis, science, math, and engineering. Some of these packages can be difficult to install otherwise, so we highly recommend installing Anaconda. Next, you will get acquainted with an IPython notebook, responding to questions and running code.
DAND-P1-Test-a-Perceptual-Phenomenon
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results. Use the Statistics Placement Advisor to determine if reviewing any of the Statistics course will help you prepare for this project.
DAND-P2-Investigate-a-Dataset
Formerly Analyze the NYC Subway Dataset. Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.
DAND-P3-Wrangle-OpenStreetMap-Data
Choose any area of the world in https://www.openstreetmap.org and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about.
DAND-P4-Explore-and-Summarize-Data
Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a selected data set for distributions, outliers, and anomalies.
DAND-P5-Identify-Fraud-From-Enron-Email
Play detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
DAND-P6-Make-Effective-Data-Visualization
Create a data visualization from a data set that tells a story or highlights trends or patterns in the data. Use either dimple.js or d3.js to create the visualization. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
DAND-P7-Design-an-AB-Test
Make design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyze the results of an A/B test that was run by Udacity and recommend whether or not to launch the change.
Jupyter_Cust_Env
Repo to store IPython/Jupyter customizations.
kickstart.nvim
A launch point for your personal nvim configuration
MoveReminder
A very simple application that monitors how long your Windows computer has been unlocked and produces a Message Box hourly to remind you to change positions. Useful for those who have a Sit/Stand capable desk to be reminded when to alternate positions. Application runs unseen except for the hourly Message Box.
ud120-projects
Starter project code for students taking Udacity ud120