Machine learning refers to the intelligence which the computer learns by itself to take some decisions on its own. The system which we will work is on the fraud detection project which involves machine learning concepts. Machine learning concepts have now been used in every field such as commerce, medical, banking, insurance, etc. The project aims to detect anything frauds while shopping online, or doing transaction. The system will read the malicious pattern and then display it to the administrator.
Skyfi Labs gives you the easiest way to learn and build this project.
There are a lot of algorithms used for detecting frauds which are as follows: -
The flow of the project is as follow:
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The first step is the feeding data process which is the most crucial part of the project as the machine will learn better with huge and improved datasets. This will train our system and it will be very helpful.
Then comes the extraction features a process which basically works on different threads and the information associated with them. The threads can be anything of vital information such as location, identity, mode of payment, network, etc. The information with all these factors is very important and should be concealed from any unauthorized access.
Then we will need a proper algorithm which you can learn at Skyfi Labs and then train your system with many customers data. More the data more will the accuracy. Then, at last, we will need a model to work properly with the proposed algorithm. The algorithm will contain concepts such as matrix confusion, selectKBest features; Mean squared error function, Gaussian naïve Bayes algorithm, and linear regression. All these concepts will be taught to you whom you can apply in many other projects.
The following project will be build using the python language and to know more about this course you can get this training at Skyfi Labs.
The system if made properly will be used to detect any dangerous activity on your computer while you are surfing the internet. The developer should possess knowledge about python language and some basics of machine learning. The system has a huge scope nowadays and if made properly it can be used commercially. The project is easy to make and handle.
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