moulik11 Goto Github PK
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Type: User
Was getting Bored So Thought Of Creating A Blog
Worked on hand gestures and recognizing the words and combine them to form a meaningful sentences. I have used two machine learning models - SVM and LSTM, to predict the sign. The models were trained and tested using 42 different sign words and 28 sentences. LSTM outperformed with accuracy 98.21 %.
Keywords: Siamese encoder, convolutional neural networks, attention model, long-short term memory
The whole code is built on different Machine learning techniques and built on website using Django
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Solutions for InterviewBit Competitive programming
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Web page prediction based on the previous 6 Webpage parameters.
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