Develop a ML model using two datasets

Hey there! I'm looking for someone to create a model that can identify regular website traffic from bot traffic using two datasets. I have two datasets in the form of JSON array with user analytics (with each dataset containing about 10,000 entries for each.) I prefer to use almost all possible features from these datasets, except confidence feature which can be disregarded. (Please check the dataset so you can get an idea)

Datasets:

Good Dataset
Bad Dataset

I have attached a sample from both so you can see. (In this sample, I only have one entry for you from each dataset.)

Deliverables:

Well documented Jupyter File Notebook (With clear steps, some data visualisation, testing, and also model should be saved in the end)

Minimum Accuracy should be at least 90%.

Deadline : 5th of May
Max Budget: 75$

Thanks.