A DataFest project to analyze the non-medical use of prescription drugs in Germany.
Applied time series technology to predict the berry yield in the next 10 weeks.
Constructed a dashboard about COVID-19, its economic influence and the potential dietary method to prevent it.
Applied machine learning models to predict the price of Airbnb listing places in Buenos Aires.
This blog is to understand the Python implementation of Convolutional Neural Network (CNN) through the insect classification example.
Explored doctorate-granting institutions and doctorate recipients in the US using plotly, dash, Chart Studio and Streamlit.
Detected fraudulent agents in financial payment services based on binary classification models.
API is the abbreviation for Application Programming Interface, which enables data transmission between multiple software intermediaries. This blog is to extract data through Star Wars API in the Python environment.
Established a SQLite3 schema to store Spotify dataset following database normalization 1NF, 2NF and 3NF.
Visualization of Malaria to explore its spread and severity using Python.