SQL Injection Detection Using Machine Learning Technique

this order is to complete my thesis and work for this semester which is the practical side, implementation and testing. i need a full jupyter notebook testing different algorithms ( as much as possible ) with different techniques with Machine learning to come up with the best possible algorithm to detect SQL injection attacks. results with different algorithms(accuracy , recall , f1 …. and other measurements need to be gathered for different algorithms. changing the dataset used for testing if needed is excepted. after testing is done, fill the Experimentation and evaluation part in my thesis with the results with around 2 pages. i will upload my full thesis ( please keep it safe ) the main goal is to achieve meaningful and good accuracy model to detect SQL injection attacks, the bigger the jupyter notebook testing and trying different things out the better.
pages cant be predicted.

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