Run File on ML for Auto-feature creation
Budget: $30 – $250 AUD
I have a file I want to add it to an ML to create and find features using auto-feature creation.
Then find the significance weighting of each feature (or data column).
Some columns will be omitted, such as "name", which have no bearing.
The columns and data have no meaning or little meaning but the outcome we know. The best answer =1 the second best 2 and so on.
Data is grouped multi-variantly for outcomes of individual events. i.e. 5-20 lines in one event not every single line is one event.
I would ask that the data is grouped properly by you but this should be simple as each event has an Date, Time and Place as ID. This will take several hours to prepare.
There will be several strategies for doing this so please suggest yours.
I suggest you have access to a computer or high powered computer.
File is 600Mb
1. Prepare Data
2. Clean Data for anomolies and omit unneeded columns.
3. Run feature creation.
Then find the significance weighting of each feature (or data column).
Some columns will be omitted, such as "name", which have no bearing.
The columns and data have no meaning or little meaning but the outcome we know. The best answer =1 the second best 2 and so on.
Data is grouped multi-variantly for outcomes of individual events. i.e. 5-20 lines in one event not every single line is one event.
I would ask that the data is grouped properly by you but this should be simple as each event has an Date, Time and Place as ID. This will take several hours to prepare.
There will be several strategies for doing this so please suggest yours.
I suggest you have access to a computer or high powered computer.
File is 600Mb
1. Prepare Data
2. Clean Data for anomolies and omit unneeded columns.
3. Run feature creation.
Related categories:
Data Processing
Statistics
Machine Learning (ML)
Artificial Intelligence
Statistical Modeling