# Fake News Classification

# Dependencies

The project requires Python 3.6 and the latest version of PyTorch  

The models were trained on Kaggle kernels with a GPU

# Data

The dataset consists of fake and true articles. 
 

# Code

All the solution and notebook files (with cell outputs) are provided.


# Run

Use the following command to open the notebook and train the model:
```
jupyter notebook fake_news_classifier.ipynb
```

{}
region:us
TAGS
#region-us 

# Fake News Classification

# Dependencies

The project requires Python 3.6 and the latest version of PyTorch  

The models were trained on Kaggle kernels with a GPU

# Data

The dataset consists of fake and true articles. 
 

# Code

All the solution and notebook files (with cell outputs) are provided.


# Run

Use the following command to open the notebook and train the model:


# Fake News Classification # Dependencies

The project requires Python 3.6 and the latest version of PyTorch  

The models were trained on Kaggle kernels with a GPU # Data

The dataset consists of fake and true articles. # Code

All the solution and notebook files (with cell outputs) are provided. # Run

Use the following command to open the notebook and train the model:
TAGS
#region-us 
 # Fake News Classification # Dependencies

The project requires Python 3.6 and the latest version of PyTorch  

The models were trained on Kaggle kernels with a GPU # Data

The dataset consists of fake and true articles. # Code

All the solution and notebook files (with cell outputs) are provided. # Run

Use the following command to open the notebook and train the model:
passage: TAGS
#region-us 
# Fake News Classification# Dependencies

The project requires Python 3.6 and the latest version of PyTorch  

The models were trained on Kaggle kernels with a GPU# Data

The dataset consists of fake and true articles.# Code

All the solution and notebook files (with cell outputs) are provided.# Run

Use the following command to open the notebook and train the model: