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1. Metal-defect-detection Metal-defect-detection Public

   This project implements semantic segmentation models to detect and classify steel surface defects. A VGG-like model and Lightweight EfficientNet U-Net model were trained on the Severstal Steel Defe…

   Jupyter Notebook

2. Predict-Organic-Chemical-Boiling-Point Predict-Organic-Chemical-Boiling-Point Public

   This project goes through the ML project cycle of data collection, data pre-processing and feature enginneering, model training and validation. Five classic ML architectures are evaluated to predic…

   Jupyter Notebook

3. Time-Series-Forecasting-On-UK-Monthly-Average-Temperature Time-Series-Forecasting-On-UK-Monthly-Average-Temperature Public

   This project conducts a Univariate Time-Series analysis to forecast UK Monthly Average Temperature and compares the SARIMAX implementation versus auto_arima way.

   Jupyter Notebook

4. Access-PubChem-Data-via-API Access-PubChem-Data-via-API Public

   This project scrapes chemical boiling points data from PubChem via the PubChem API

   Python

5. Time-Series-Forecasting-on-Stock-Price Time-Series-Forecasting-on-Stock-Price Public

   This projects develops a deep learning moldel (LSTM/RNN) to forecast the Microsoft Corporation Common Stock (MSFT) price. Four different models (SimpleRNN, 1-layer LSTM and 2-layer LSTM with differ…

   Jupyter Notebook

6. Customers-and-Products-Analysis-SQL-and-Python Customers-and-Products-Analysis-SQL-and-Python Public

   In this project, I conducted customers and products analysis by querying a scale model car database with DB browser SQLite as part I, and querying from Python to interact with the database as Part II

   Jupyter Notebook