Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
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Updated
Jun 15, 2022 - Jupyter Notebook
Project made in Jupyter Notebook with "News Headlines Dataset For Sarcasm Detection" from Kaggle.
Recursive Neural Network for Text Generation.
RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa
Estimating the growth or depreciation on exchange rates by using sentiment analysis method from social media comments
A repository demonstrating different examples of LSTM.
A ML based elective recommendation webapp
Estimating energy consumption in Megawatts (MW)
I previously illustrated two forecasting implementations with the same data set. This is the last one in these series using deep learning model.
This project involves building a sentiment analysis model using Recurrent Neural Networks (RNN) to classify movie reviews from the IMDb dataset as either positive or negative. The IMDb dataset consists of 50,000 highly polarized movie reviews, with 25,000 labeled as positive and 25,000 as negatives.
Sinewave forcasting using simpleRNN and LSTM model
RNN
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