EBOP Model Automatic input Value Estimation Neural network

An implementation of a relevance vector machine, a sparse Bayesian version of a SVM

This project predicts employee salaries based on factors like gender, department, experience, and location, providing insights and accurate salary predictions through statistical and machine learning methods.

Este código determina la ley de propagación de vibraciones en el terreno, a partir de las medidas experimentales, utilizando un modelo de regresión log-normal

📊 Computation and processing of models' parameters

3 Common Machine Learning models.

This repository contains Machine Learning mini-projects focused on different predictive models, from linear regression to more advanced techniques. It also includes more comprehensive end-to-end projects covering the entire ML workflow, from data preparation to model deployment.

Data Science Portfolio

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

Professional resume, portfolio, bio, and presentations for Sean K. Maden, Ph.D.

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Statsmodels: statistical modeling and econometrics in Python

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

Presentation-Ready Data Summary and Analytic Result Tables

Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.

Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.

Modelling and Inference of MICrobiomes Project (MIMIC) is a Python package dedicated to simulate, model, and predict microbial communities interactions

Predict the compressive strength of concrete with maximum accuracy and lowest error (evaluation metrics MAE) , for various quantities of constituent components as the input

Memprediksi harga Bitcoin selama 5 hari ke depan menggunakan algoritma XGBoost.

This repo is about the SFR predicting project augmented with synthetic data