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1. Linear-regression-analysis-of-the-stroke-occurrence-related-the-age Linear-regression-analysis-of-the-stroke-occurrence-related-the-age Public

   Algorithm in python to determine how many people had stroke by age using linear regression

   Jupyter Notebook 1

2. Random-forest-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector Random-forest-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector Public

   A model based in random forest to predict buy and sell stocks of retail sector.

   Jupyter Notebook

3. XGBoost-to-predict-the-scenario-to-buy-or-sell-stocks-of-retail XGBoost-to-predict-the-scenario-to-buy-or-sell-stocks-of-retail Public

   A model based in Extreme Gradient Boosting (XGBoost) to predict buy and sell stocks of retail sector.

   Jupyter Notebook

4. Automation-in-the-selection-of-professors-and-students-in-public-examinations-and-postgraduate Automation-in-the-selection-of-professors-and-students-in-public-examinations-and-postgraduate Public

   Automated system for the selection of professors and students in postgraduate processes and public examinations using academic metrics from the international database SCOPUS using the pybliometrics…

   Python 1 1

5. Artificial-Neural-Network-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector Artificial-Neural-Network-to-predict-the-macroeconomics-scenario-to-buy-stocks-of-retail-sector Public

   A model based in artificial neural network to predict buy and sell stocks of retail sector.

   Jupyter Notebook 1

6. Influence-of-Lemmatization-and-Stemming-in-the-Word-Frequency-Text-Summarization Influence-of-Lemmatization-and-Stemming-in-the-Word-Frequency-Text-Summarization Public

   The aim of this study was to determine which method would be most efficient for generating summarization using the word frequency text. Three forms were analyzed: without any method, lemmatization …

   Jupyter Notebook