Pinned Repositories
Sport-Prediction
cte
ctequiz
helloworld
1st git repo
Intro-to-Computer-Science-COS-126
Assignments/Projects
Machine-Learning
Machine Learning in Python
ML-and-Consumer-Neuroscience
Predicting consumer behaviour using machine learning and brain computer interfacing
Stock-Volatility-Forecasting
Earning calls have a substantial impact on the volatility in the stock price and can be used to analyse a stock’s risk level. Along with textual features, the vocal features and voice tones while delivering the earning call also are depictive of the firm’s performance. This approach uses an audio encoder and text encoder for obtaining the embeddings and features, this combined encoded representation has been used along with past volatility values to predict the volatility of the stock over the next t=3 days. The model has been built on the earning calls data available for S&P 1500 companies.
Structural-Health-Monitoring
Built deep neural networks using methods such as CNNs to classify the state of civil and mechanical structures for damage classification and prevention.
vishwa27yvs.github.io
vishwa27yvs's Repositories
vishwa27yvs/Structural-Health-Monitoring
Built deep neural networks using methods such as CNNs to classify the state of civil and mechanical structures for damage classification and prevention.
vishwa27yvs/cte
vishwa27yvs/ctequiz
vishwa27yvs/helloworld
1st git repo
vishwa27yvs/Intro-to-Computer-Science-COS-126
Assignments/Projects
vishwa27yvs/Machine-Learning
Machine Learning in Python
vishwa27yvs/ML-and-Consumer-Neuroscience
Predicting consumer behaviour using machine learning and brain computer interfacing
vishwa27yvs/Stock-Volatility-Forecasting
Earning calls have a substantial impact on the volatility in the stock price and can be used to analyse a stock’s risk level. Along with textual features, the vocal features and voice tones while delivering the earning call also are depictive of the firm’s performance. This approach uses an audio encoder and text encoder for obtaining the embeddings and features, this combined encoded representation has been used along with past volatility values to predict the volatility of the stock over the next t=3 days. The model has been built on the earning calls data available for S&P 1500 companies.
vishwa27yvs/vishwa27yvs.github.io
vishwa27yvs/MuPDesignProject
vishwa27yvs/project
vishwa27yvs/project1
vishwa27yvs/R-Drop
vishwa27yvs/someshsingh22.github.io
This is my personal website at somesingh22.github.io