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A rule-based classification approach called Associative Classification (AC) normally constructs accurate classifiers from supervised learning data sets in data mining
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 train…
Keywords: Blockchain technology, Cryptography, Educational records, smart contract, secure storage and sharing.
An updated introduction to the Spring Framework 5. Become an Expert understanding the core features of Spring In Depth. You would write Unit Tests, AOP, JDBC and JPA code during the course. Include…
Platform for designing and evaluating Graph Neural Networks (GNN)
Simple example of a to-do list for KaiOS devices
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Web page prediction based on the previous 6 Webpage parameters.
Solutions for InterviewBit Competitive programming
Keywords: Siamese encoder, convolutional neural networks, attention model, long-short term memory
Loops are an important part of any programming language. Hence loop analysis is very important for different software engineering tasks, such as bug detection, test case generation, and program opt…
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and …
Kmeans clustering using c , openmp , cuda and mpi program
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Program accepts programming languages and generate intermediate code.
Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django
OOPS CONCEPTS, DESIGN PATTERNS, APPLETS/SWINGS included