Recurrent LSTM predictor that categorizes sentences as being related to 'hardware' or 'software'.
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Updated
Oct 28, 2018 - JavaScript
Recurrent LSTM predictor that categorizes sentences as being related to 'hardware' or 'software'.
Worked with a team of skilled developers and deployed a MERN stack web application for vegetable vendors to sell their products online and for customers to purchase those products online, both roles can check future prices of vegetables with the help of inbuilt machine learning model LSTM and also check past prices of these vegetables. [Frontend]
PredictBay aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks .
A react application with a deep learning model to generate caption for images
Using a machine learning model, classify Georgian names to their corresponding genders.
Nextjs Minimum Temperature Predictions since 1991 in Melbourne with dataset Daily Minimum Temperatures in Melbourne
💵 Using word2vec to predict trends in cryptocurrency.
PredictBay is an innovative project that aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks from all over the world.
Borealis AI mentored water consumption prediction machine learning web application!
A cricket match Analysis and Simulation project
this is mern-stack project for stock market data fetching and predicting.
Stacked LSTM-MERN application for real-time price predictions, sentiment analysis, and community chat.
Natural Language Processing
Deploying a deep learning based Spam filter for e-mails using keras, flask, Docker and docker-compose
Predict stock prices using neural networks trained on historical price data.
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