Digital Signal Processing

vasco: Discover hidden patterns in your Postgres data

資料科學的日常研究議題

This analysis predicted hotel booking cancellations and optimize booking strategies by focusing on the key features that drive cancellations.

Pymaceuticals Data Analysis and Visualization

This is an application to find correlation and regression solution of problems with it's steps. It also include multiple methods to find the correlation and regression.

The project focuses on a critical and timely theme: assessing the impact of micromobility infrastructure on property values in London. This study sits at the intersection of urban planning, real estate economics, and sustainable transportation, reflecting a growing interest in how emerging mobility solutions contribute to urban life quality.

Permutational Multivariate Analysis of Variance, Causal mediation analysis, PCA, adjusted p_values, correlation amon distance matrix, power analysis, exat t_test, Fourier transform

Sephora needs a robust recommendation system that leverages product attributes and user reviews to deliver personalized recommendations.

Implementation of the paper https://arxiv.org/abs/1909.10140 proposed correlation function.

Demonstrating and testing a new approach for quantifying and identifying correlation.

Pipelines transformMixin that preserve the format dataframe and automation in correlation

Acycle: Time-series analysis software for research and education

Correlation coefficients with uncertainties

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).

A package for studying how things change together.

Some movies to teach statistical concepts

I conducted an in-depth analysis to determine the optimal operational hours through linear regression. This involved gathering and processing attendance data to model and forecast passenger flow, ultimately enhancing the efficiency and resource allocation of the subway system.