Links

Link 활용 예제

최신 버전(0.10.0)으로 업데이트 후 사용하시기를 권장합니다.
Classification of 2D spiral-distributed data using Pytorch framework
노트북 예시 : Spiral Pattern Classification
spiral_classification.ipynb
777KB
Binary
Basic exploratory data analysis (EDA) and modelling of iris data using Scikit-Learn library
노트북 예시 : Iris Data EDA and Modelling
iris_data_eda_and_modeling.ipynb
102KB
Binary
Various EDA and ensemble modelling of titanic data using Scikit-Learn library
노트북 예시 : Titanic Data EDA and Modelling
titanic_data_eda_and_modeling.ipynb
414KB
Binary
MNIST image generation test with variational autoencoder (VAE) using Pytorch framework
image_generation_using_variational_autoencoder.ipynb
286KB
Binary
Restoring corrupted MNIST images with denoising autoencoder using Pytorch framework
image_restoration_using_denoising_autoencoder.ipynb
510KB
Binary
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
Binary
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
Binary
Text classification with RNN using Pytorch library
text_data_classification_using_rrn.ipynb
102KB
Binary
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
Binary