Pinned Repositories
cbojer.github.io
Personal Website
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
crosslearning-rmt
forestknn
Explainability of Decision Tree Ensembles using Adaptive Nearest Neighbors
kaggle-project
Learnings from Kaggle Competitions
low-rank-feature
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
mslearn-train-package-module-iot-edge
Code sample for MS Learn Module Train and package an Azure machine learning module for deployment to IoT Edge device - Learn Modules at https://docs.microsoft.com/en-gb/learn/modules/train-package-module-iot-edge/
ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
ThinkComplexity2
Book and code for Think Complexity, 2nd edition
cbojer's Repositories
cbojer/kaggle-project
Learnings from Kaggle Competitions
cbojer/cbojer.github.io
Personal Website
cbojer/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
cbojer/crosslearning-rmt
cbojer/forestknn
Explainability of Decision Tree Ensembles using Adaptive Nearest Neighbors
cbojer/low-rank-feature
cbojer/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
cbojer/mslearn-train-package-module-iot-edge
Code sample for MS Learn Module Train and package an Azure machine learning module for deployment to IoT Edge device - Learn Modules at https://docs.microsoft.com/en-gb/learn/modules/train-package-module-iot-edge/
cbojer/ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
cbojer/ThinkComplexity2
Book and code for Think Complexity, 2nd edition
cbojer/tsbooster
Decision Tree-Based Boosting Framework for Time Series Forecasting
cbojer/venueindex