This project targets the domain of e-mail spam filtering using machine learning. A classifier is trained using supervised Machine Learning algorithm called Support Vector Machine (SVM) to filter e-mail as spam or not spam. Each e-mail is converted to a feature vector. The SVM is trained on Raspberry Pi and the result displayed on the piTFT screen. In addition to displaying whether the e-mail is spam or not, the display also gives the user information about potential reasons for why the e-mail has been classified as spam. The database used for training is a toned-down version of the SpamAssassin Public Corpus; only the body of the e-mail is used.
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Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
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