Канал: a grain of data science salt

Residual LSTM model in PyTorch for time series forecasting

Residual LSTM model in PyTorch for time series forecasting

RNN with Attention PyTorch for seq2seq time series forecasting

RNN with Attention PyTorch for seq2seq time series forecasting

Encoder-Decoder network in PyTorch for seq2seq time series forecasting using scheduled sampling

Encoder-Decoder network in PyTorch for seq2seq time series forecasting using scheduled sampling

Dilated RNN in PyTorch for seq2vec time series forecasting: better than standard RNN for seasonality

Dilated RNN in PyTorch for seq2vec time series forecasting: better than standard RNN for seasonality

ResNet PyTorch model from scratch: residual connection enables deeper network

ResNet PyTorch model from scratch: residual connection enables deeper network

Simple LSTM PyTorch model for time series forecasting: creating custom DataLoader and forward method

Simple LSTM PyTorch model for time series forecasting: creating custom DataLoader and forward method

GoogLeNet (Inception V1) CNN: how does 1x1 convolutions reduce dimensions? #pytorch

GoogLeNet (Inception V1) CNN: how does 1x1 convolutions reduce dimensions? #pytorch

How to identify good hyperparameters for the SARIMA model for time series forecast #arima

How to identify good hyperparameters for the SARIMA model for time series forecast #arima

AlexNet CNN PyTorch from scratch, transfer learning #pytorch #cnn

AlexNet CNN PyTorch from scratch, transfer learning #pytorch #cnn

Simple RNN model to predict review score using Steam review texts #rnn

Simple RNN model to predict review score using Steam review texts #rnn

Basic CNN model using PyTorch with Image Augmentation

Basic CNN model using PyTorch with Image Augmentation

Basic MLP model using PyTorch with weights inspection

Basic MLP model using PyTorch with weights inspection

Tree SHAP algorithms and time complexity

Tree SHAP algorithms and time complexity

How does LIME tabular explainer apply to XGBoost models and their drawbacks

How does LIME tabular explainer apply to XGBoost models and their drawbacks

ALE plots for XGBoost model (with comparison to PD plots) using Alibi Explain

ALE plots for XGBoost model (with comparison to PD plots) using Alibi Explain

How to use ICE plots for detecting interaction and extrapolation in XGBoost model?

How to use ICE plots for detecting interaction and extrapolation in XGBoost model?

Interpret XGBoost model using PDP (with focus on the estimation algorithm)

Interpret XGBoost model using PDP (with focus on the estimation algorithm)

Prediction Calibration for XGBClassifier

Prediction Calibration for XGBClassifier

[Part 1] XGBoost custom objective and metric for binary classification: clipped logloss

[Part 1] XGBoost custom objective and metric for binary classification: clipped logloss

What is so different about CatBoost?

What is so different about CatBoost?

How to use target statistics for categorical features?

How to use target statistics for categorical features?

3 basic strategies with categorical features in XGBoost/LightGBM

3 basic strategies with categorical features in XGBoost/LightGBM

How to prevent XGBoost and LightGBM from overfitting?

How to prevent XGBoost and LightGBM from overfitting?

Why are XGBoost and LightGBM so fast?

Why are XGBoost and LightGBM so fast?

How does XGBoost grow trees differently from GBM?

How does XGBoost grow trees differently from GBM?

Myopia risk factors: compare LR/EBM/GBDT algorithms

Myopia risk factors: compare LR/EBM/GBDT algorithms

Explainable Boosting Machine Algorithm Tied to API Parameters

Explainable Boosting Machine Algorithm Tied to API Parameters

Use two spline based GAM packages in Python with an example

Use two spline based GAM packages in Python with an example