In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.
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May 28, 2024 - Jupyter Notebook
In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.
Typescript library to access Faraday's API infrastructure for B2C predictions
This repository contains models that predict the obesity level of patients based on their eating/lifestyle habits and physical condition.
Surrogate Modeling Toolbox
Analytics & Machine Learning R Sidekick
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Managed by Outhai Xayavongsa (Ms. Thai), using Python coding and Juptyer notebook.
Developed a Bidirectional LSTM model for predicting next day closing prices with a MAPE of 19% and built a dynamic portfolio optimization algorithm incorporating profit-taking and stop-loss strategies
This project aims to cluster various cryptocurrencies based on their market performance using machine learning techniques. The analysis involves several key steps: normalizing the data, reducing its dimensionality with Principal Component Analysis (PCA), and using K-Means clustering to identify distinct groups.
Este repositorio corresponde a la tesis de Master en Big Data realizada en Universidad ORT, con Joaquin Rama y Ana Laura Cuitiño.
An online study guide for the SOA's predictive analytics exam.
This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.
Predictor for stock and ETF prices
Repository for the Data Science and Analytics course materials at Tecnológico de Monterrey. Includes playbooks and analyses for practical data science applications, from fundamentals to predictive models.
Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
This project aims to segment customers to organize them into specific groups based on shared characteristics and build a model to predict customer response to the next marketing campaign.
This is my capstone project for the Concordia Data Science Diploma program. Its goal is to create a model that can predict the level of a written text according to the CEFR.
Forecasting the Adoption Process of Technology Using ML Methods
Graduation Project
Machine learning research project predicting and identifying cyberattacks on the SWaT testbed from iTrust Centre Labs.
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