Links

Link Examples

It is recommended to use after updating to the latest version(0.10.0).
Classification of 2D spiral-distributed data using Pytorch framework
Notebook Example : Spiral Pattern Classification
spiral_classification.ipynb
777KB
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Basic exploratory data analysis (EDA) and modelling of iris data using Scikit-Learn library
Notebook Example : Iris Data EDA and Modelling
iris_data_eda_and_modeling.ipynb
102KB
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Various EDA and ensemble modelling of titanic data using Scikit-Learn library
Notebook Example : Titanic Data EDA and Modelling
titanic_data_eda_and_modeling.ipynb
414KB
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MNIST image generation test with variational autoencoder (VAE) using Pytorch framework
image_generation_using_variational_autoencoder.ipynb
286KB
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Restoring corrupted MNIST images with denoising autoencoder using Pytorch framework
image_restoration_using_denoising_autoencoder.ipynb
510KB
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Classification of MNIST images with convolutional neural network (CNN) and fully-connected network (FCN) being compared using Pytorch framework
mnist_image_classification_using_cnn.ipynb
152KB
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Modelling of diabetes data for regression, classificaion, cross-validation, and hyperparameter searching using Scikit-Learn and XGBoost library
using-xgboost-for-scikit-learn-datasets.ipynb
18KB
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Text classification with RNN using Pytorch library
text_data_classification_using_rrn.ipynb
102KB
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​Deep Q-Network Reignforcement Learning (RL) for CartPole environment using Pytorch and OpenAI-Gym frameworks
deep q-network reinforcement learning for cartpole environment.ipynb
166KB
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