Soledad Galli
solegalli
👨💻 Data scientist, best-selling machine learning instructor, and book author. 📚 Developer of Feature-engine. 🚀
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Top Repositories
Code repository for the online course Feature Engineering for Machine Learning
Code repository for the online course Feature Selection for Machine Learning
Code repository for the online course Machine Learning with Imbalanced Data
Code repository for the online course Hyperparameter Optimization for Machine Learning
Feature engineering package with sklearn like functionality
Code repository for the book feature selection in machine learning
Repositories
32Code repository for the online course Feature Engineering for Machine Learning
Code repository for the online course Hyperparameter Optimization for Machine Learning
Code repository for the online course Feature Selection for Machine Learning
Code repository for the online course Machine Learning with Imbalanced Data
No description provided.
Resources for working with time series and sequence data
Code repository for the book Feature engineering with Feature-engine
Python Feature Engineering Cookbook, Third Edition, published by Packt
Code repository for the online course Machine Learning Interpretability
Code repository for the book feature selection in machine learning
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.
No description provided.
Feature engineering package with sklearn like functionality
:memo: An awesome Data Science repository to learn and apply for real world problems.
:sunglasses: A curated list of awesome MLOps tools
This repo lists collections of awesome repositories that gather resources to learn machine learning in general, or specific aspects of machine learning.
Python implementations of the Boruta all-relevant feature selection method.
Codigo para el curso Ingenieria de Variables para Machine Learning
Evaluation of resampling methods across datasets.
machine learning and deep learning tutorials, articles and other resources
An opinionated list of awesome Python frameworks, libraries, software and resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
No description provided.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
No description provided.
Time series forecasting with scikit-learn models
A unified framework for machine learning with time series
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
No description provided.