GitHub - javierpe27/denguePrediction: This project consists of predicting the number of dengue cases in Iquitos (Peru) and San Juan (Puerto Rico) in a specific week. For this task, we used two Machine learning algorithms, Random Forest and Support Vector Regression. The project was done in the Royal Institute of Technology (Stockholm, Sweden)

Name		Name	Last commit message	Last commit date
FeatureAnalysis.py		FeatureAnalysis.py
IQUITOS_Feature_labels.csv		IQUITOS_Feature_labels.csv
IQUITOS_totalCases.csv		IQUITOS_totalCases.csv
Predicting Local Epidemic Spread of Dengue Fever in San Juan and Iquitos by Using Machine Learning Methods.pdf		Predicting Local Epidemic Spread of Dengue Fever in San Juan and Iquitos by Using Machine Learning Methods.pdf
RandomForest.py		RandomForest.py
SANJUAN_feature_lables.csv		SANJUAN_feature_lables.csv
SANJUAN_totalCases.csv		SANJUAN_totalCases.csv
Support_Vector_Regression.ipynb		Support_Vector_Regression.ipynb
dengue_features_train.csv		dengue_features_train.csv
dengue_labels_train.csv		dengue_labels_train.csv

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This project consists of predicting the number of dengue cases in Iquitos (Peru) and San Juan (Puerto Rico) in a specific week. For this task, we used two Machine learning algorithms, Random Forest and Support Vector Regression. The project was done in the Royal Institute of Technology (Stockholm, Sweden)

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