Professional resume, portfolio, bio, and presentations for Sean K. Maden, Ph.D.
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Updated
Jun 1, 2024 - HTML
Professional resume, portfolio, bio, and presentations for Sean K. Maden, Ph.D.
Statsmodels: statistical modeling and econometrics in Python
Machine Learning Library for C++
A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks
Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
A collection of 8 Applied Data Science projects.
Machine Learning models that were utilized to predict hotel prices in Saudi Arabia.
Personal notes during reading "An R Companion to Applied Regression"
Implementação do Trabalho de conclusão de curso, com o tema definido "Aproximação da cinemática inversa de um robô manipulador didático através de algoritmos de aprendizado de máquina"
Exploring forecasting for energy consumption
The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
Projects from the Learn SQL certification from Codecademy.
This project is a Jupyter Notebook that analyzes how a regression model can be tuned to predict the stock market prices of Tesla (TSLA). The objective was to create a prediction algorithm to forecast the closing price of Tesla stock on a specific date.
Student maths score prediction project with its webapp, All the codes are in modular format. Python flask is used as web framework.
🌌 The R easystats-project
An End-to-end Project To Predict the Price Of Diamond 💎
This repository implements a custom artificial neural network in PyTorch, achieving 87% accuracy on a regression dataset (outperforming Keras). It provides a hands-on approach to building neural networks from scratch while leveraging PyTorch for efficient training.
Presentation-Ready Data Summary and Analytic Result Tables
A list of MI-AI Projects and Model builds
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