Machine learning
Budget: $10 – $30 USD
You can choose any topic in the field of data science, but ideally you should try to apply machine learning techniques to your project. You can do a straightforward project (e.g. predict X with maximum accuracy given data Y) or pursue more exploratory projects.
Data: There needs to be an available data set for you to analyze. Ideally larger and more complex data but something in a curated row-column or database table format is also acceptable.
Learning goal: What is the goal of unsupervised or supervised learning on this data? Is it possible with the data available?
Exploratory and Extensible: Projects should have multiple facets. One concrete prediction objective is good, but there needs to be enough depth to your approach or optional goals that it cannot be done in only a few days.
Data: There needs to be an available data set for you to analyze. Ideally larger and more complex data but something in a curated row-column or database table format is also acceptable.
Learning goal: What is the goal of unsupervised or supervised learning on this data? Is it possible with the data available?
Exploratory and Extensible: Projects should have multiple facets. One concrete prediction objective is good, but there needs to be enough depth to your approach or optional goals that it cannot be done in only a few days.