I want to use Unsupervised Leaning to detect Anomalies within a huge Csv file (consisting of headers that are named and thousands of rows belonging to them)
Here on this link I have read about the learning process of AI and Machine Learning.
I have some uncertainties hoping to clear them up from advice in here. Start of the project, I ran a Dataset (csv) into the Machine Learning Algorithm.
Does this create a model file that future dataset can be tested on? if so, what format is the file?
I have this question because a year ago I did a self-driving RC car, where first I would drive it with the remote control, collect data, train it and then I would get an output file. I would just run the output file and then the car would drive autonomously upon a path which was given.
The whole idea is the create a Anomaly Detection for Data, that is flexible and I don’t have to go and hardcode the rules.