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Soledad Galli

@solegalli · Germany
在 GitHub 打开
2.42k
加权贡献
311
贡献次数
9
项目数
主要项目
  • feature-engine/feature_engine
  • scikit-learn-contrib/imbalanced-learn
  • ashishpatel26/Amazing-Feature-Engineering
  • optuna/optuna-examples
  • josephmisiti/awesome-machine-learning
  • trainindata/deploying-machine-learning-models
  • visenger/awesome-mlops
  • academic/awesome-datascience
  • kelvins/awesome-mlops
上榜的 AI 项目3
48751036
feature-engine/feature_engine
+1今日

Feature engineering and selection open-source Python library compatible with sklearn.

2.29k· Python· Model Development
125771676
trainindata/deploying-machine-learning-models
+0今日

Code for the online course "Deployment of Machine Learning Models"

896· Jupyter Notebook· Tutorials
133594367
ashishpatel26/Amazing-Feature-Engineering
+0今日

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

807· Jupyter Notebook· Tutorials
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