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Common file formats used for Data Science and language localization exported from (and to) HXL (The Humanitarian Exchange Language)
GitHub Crop Anomaly detection repository
This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).
There are 4 sections. 1º- Process the data. 2º- Create train and test models. 3º- Analyse with orange data mine. 4º- We train the algorithm with KNN, DecisionTree, LogisticRegression, SVM. Then, we try to take our own conclusion about the dataset.
Aplicação de algoritmos de ML
This is a machine learning project that analyzes the Kaggle Dataset and does a classification task of determining whether a credit card is approved or not.