Gerson Gerard Cruz's repositories
extractive_and_abstractive_text_summarization
A combination of extractive and abstractive text summarization for summarizing long scientific texts
temperature_forecasting_airflow_automation
This is an end-to-end temperature forecasting pipeline with API data collection automated with Apache Airflow, AWS EC2, AWS S3, and Python
animal_face_classification
This is an end-to-end animal face classification model with Keras, KerasTuner, Mlflow, SQLite, Streamlit, and FastAPI which can classify animal faces as either cat, dog or wildlife
customer_segmentation
This classification model, deployed via Streamlit, is trained to predict whether a customer belongs to one of four segments based on eight features.
network_intrusion_detection
This is an end-to-end network intrusion detection model with H2O AutoML, Mlflow, Streamlit, and FastAPI which can classify network activities as normal or anomalous
normalized_crosscorrelation
Signals, Spectra, and Signal Processing Lecture Project. This algorithm calculates the normalized cross correlation between two signal files.
discrete_fourier_transforms
Signals, Spectra, and Signal Processing Project. This algorithm calculates the discrete fourier transform for a signal file based on a chosen frequency and displays it either in a Real-Imaginary form or a Magnitude-Phase form.
End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
julia_root_finding
Numerical Methods Project. This notebook is written using Julia and contains different methods of finding the roots of a function.
ode_modelling_dynamics_of_love
Numerical Methods Project. This notebook creates an algorithm using the Runge–Kutta–Fehlberg Adaptive Step Size Method to solve for Ordinary Differential Equations. In this notebook, the dynamics of love model was solved and presented.
regression_analysis_on_house_pricing
This repository contains a jupyter notebook focusing on Kaggle's House Pricing Dataset. Exploratory Data Analysis, Data Preprocessing, and Modelling was performed using Pandas, Numpy, Seaborn, and Scikit-learn
greenhouse_gases_emissions_dashboard
This Streamlit-powered project visualizes the trends of greenhouse gas emissions, their sources, and their correlation to gdp per capita over time
sentiment_analysis_on_game_reviews
This sentiment analysis project classifies Parsehub-collected commonsensemedia.org game reviews as either positive or negative