The 240-item encoded data was split into a 200-item set of training data to create a prediction model and a 40-item set of test data to evaluate the model. Installing Python and LightGBM To use the ...

If you have data / access to data / better model, please feel free to issue /pull requests / contact me [email protected]. This resource contains 50+ million(865G) multimodal short video ...

Automated Question Classification. We are going to use the exact same process and model, but on a different dataset which will enable us to do something more powerful: learn to classify questions ...

Once the dependencies are installed, you can easily train and evaluate the Logistic Regression model: Open and run the Jupyter Notebook iris_dataset_classification.ipynb. Follow the step-by-step ...

In this article, we will implement the multiclass image classification using the VGG-19 Deep Convolutional Network used as a Transfer Learning framework where the VGGNet comes pre-trained on the ...