Get Solution Working and Document Results

Code The ActiveClean codebase is written in Python and includes the core ActiveClean algorithm and a data cleaning benchmark. The Data Cleaning Benchmark automatically injects data errors into a datasets to test the robustness of a machine learning model against data errors. It can be installed using pip: pip install cleaningbenchmark To reproduce the results and run the code, simply download the files in the following link ([login to view URL]) and run the python file using: python [login to view URL] The script is quite simple, so you can read it to see everything in action. We want this to be accomplished using Python 3x, placed in a Jupyter Notebook, and well documented explaining what is approximately happening in each cell/step. We can provide additional references to help with the above (papers/links). Our aim is to find someone who can achieve the above, enjoys the work, and would be helping us extend code resulting in more ongoing work.