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.vscode
.vscode
 
 
__pycache__
__pycache__
 
 
static
static
 
 
templates
templates
 
 
Procfile
Procfile
 
 
README.md
README.md
 
 
app.py
app.py
 
 
disaster_classify (1).ipynb
disaster_classify (1).ipynb
 
 
final_model.h5
final_model.h5
 
 
functions.py
functions.py
 
 
model_disaster_tuned.h5
model_disaster_tuned.h5
 
 
model_disaster_tuned.json
model_disaster_tuned.json
 
 
prediction.py
prediction.py
 
 
requirements.txt
requirements.txt
 
 
runtime.txt
runtime.txt
 
 
train.csv
train.csv
 
 

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Tweet_Classifier

A NLP project to predict if a tweet is regarding a Disaster using a LSTM model. The .ipynb file contains the initial EDA done on the data. Keras tuner used to select the model parameters. Flask app to deploy the model.

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