emilycalvert
Geospatial Data Science | Sustainable Tropical Forest Management | Applied Research
CiteForestal- MaynasSan Diego, CA
Pinned Repositories
CodeOpsHomework
This is a collection of the homework assignments for my Data Science Bootcamp.
explorations_machinelearning
This repository is a comprehensive showcase of using supervised and unsupervised learning techniques across different domains. It underscores my ability to apply these techniques for practical problem-solving and strategic decision-making in various sectors.
greece_fire_economy_model
This is a project to model the economic impact of Forest Fires on the Greek economy.
LSTM_hybrid
Contained within are the Jupyter notebooks detailing the project's development process, from initial data preprocessing to the final LSTM model training and evaluation. The repository serves as a testament to my skills in machine learning, particularly in the realm of neural networks and time-series forecasting.
Satellite_Coverage_Classification
This repository contains all the codes and results of our Satellite Coverage Classification Project. In this project, we trained a ResNet Convolutional Neural Network (CNN) model on satellite images to classify different landscapes, such as deserts, water bodies, green areas, and cloudy scenes.
scripts_cite
Some scripts written to support workflow and provide foundation for research at CiteForestal-Maynas. Dedicated to establishing a system for sustainable forest management in Loreto.
stipend_iquitos
As a Peace Corps Response Volunteer in Peru it is important that we are administered a salary sufficient sustainable an agreeable lifestyle at each post. This is a review of my stipend.
un_energy_data_eda
"Energy Statistics Analysis in Africa During COVID" is a data-driven project that explores the impact of the COVID-19 pandemic on energy consumption and production in African countries. Using advanced data analysis and visualization techniques, this project aims to provide insightful trends and implications for energy policy and management.
emilycalvert's Repositories
emilycalvert/LSTM_hybrid
Contained within are the Jupyter notebooks detailing the project's development process, from initial data preprocessing to the final LSTM model training and evaluation. The repository serves as a testament to my skills in machine learning, particularly in the realm of neural networks and time-series forecasting.
emilycalvert/Satellite_Coverage_Classification
This repository contains all the codes and results of our Satellite Coverage Classification Project. In this project, we trained a ResNet Convolutional Neural Network (CNN) model on satellite images to classify different landscapes, such as deserts, water bodies, green areas, and cloudy scenes.
emilycalvert/CodeOpsHomework
This is a collection of the homework assignments for my Data Science Bootcamp.
emilycalvert/explorations_machinelearning
This repository is a comprehensive showcase of using supervised and unsupervised learning techniques across different domains. It underscores my ability to apply these techniques for practical problem-solving and strategic decision-making in various sectors.
emilycalvert/greece_fire_economy_model
This is a project to model the economic impact of Forest Fires on the Greek economy.
emilycalvert/scripts_cite
Some scripts written to support workflow and provide foundation for research at CiteForestal-Maynas. Dedicated to establishing a system for sustainable forest management in Loreto.
emilycalvert/stipend_iquitos
As a Peace Corps Response Volunteer in Peru it is important that we are administered a salary sufficient sustainable an agreeable lifestyle at each post. This is a review of my stipend.
emilycalvert/un_energy_data_eda
"Energy Statistics Analysis in Africa During COVID" is a data-driven project that explores the impact of the COVID-19 pandemic on energy consumption and production in African countries. Using advanced data analysis and visualization techniques, this project aims to provide insightful trends and implications for energy policy and management.