machine-learnin

A microservice for performing OCR annotation on images using Tesseract.js, containerized by Docker.

Hello guys, welcome to my Data Science Portfolio. I include some knowledges I earn in my journey. I included some case study, papers, and code. Please check the readme.

🏠 California Housing Price Prediction using Machine Learning. Performed Data Cleaning, Exploratory Data Analysis (EDA), and built a Regression model to predict house prices. 🚀

A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.

Advanced data science project for Netflix stock price prediction and analysis using Python, Pandas, NumPy, Matplotlib, Seaborn, and Plotly with interactive visualizations

Contains multiple small projects on Deep Neural Network from scratch to intermediate level.

Predicts and visualizes weather data using Machine Learning and OpenWeather API.

Open-data API for expert-verified Philippine snake sightings (SnaKédex)

AI-powered contractor intake & estimation platform - FastAPI, Next.js, PostgreSQL, and a custom-trained PyTorch image classifier, with OpenAI-driven scope/estimate generation.

Udacity's Machine Learning Nanodegree - Project 1- Deploy a Sentiment Analysis Model

Time Series Forecasting project using the SARIMA (Seasonal AutoRegressive Integrated Moving Average) model to predict future airline passenger traffic. The project includes data preprocessing, trend and seasonality analysis, stationarity testing, SARIMA model development, forecasting, and performance evaluation using Python.

Scalable vehicle telemetry platform with real-time data ingestion, ML-based anomaly detection, and automated alerting.

This project built a binary classifier to help Alphabet Soup predict applicant success using machine learning and feature selection.

Bayesian optimization pipeline for silicon reactive ion etching. Random Forest surrogate model seeded with transfer learning from published plasma physics data, with a hardware safety envelope that keeps every proposed recipe inside cleanroom mask-integrity limits. Built at the UH Nanofabrication Facility.

Machine Learning project for predicting crime offence categories from incident details using Logistic Regression and streamlit

Evaluates the wpd real-space topological invariant for finite non-hermitian chains by first predicting the crop length parameter l_star using Random-forest predictors. Follows the principles provided in arXiv:2607.05900

End-to-end ML pipeline for phishing URL detection. Deployed on AWS via Docker + ECR + EC2.

Explainable AI for simulated cognitive profiles, interactive React/TypeScript tool with a from-scratch, interpretable logistic regression (educational, non-diagnostic)

Runs multiple.arff files through SMO and prepares results for R