🦊 Kitsu seasonal anime trends

A collection of my work in my EAPS (Python), Math (R & MATLAB), and CS (Python) courses

JJIF statistics app

This repository contains my notebooks in Kaggle profile.

Bayesian Modeling and Probabilistic Programming in Python

Winter 2024 - DSC180B A05-01 GitHub Repository (Click the link to go to the Dashboard)

Introduction to Data Science: Term Project (2021W) - Predictive Analysis

GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.

This repository explores the activation patterns of A2 noradrenergic neurons in fear-conditioned rats, using statistical analyses like t-tests and linear regression in R. It focuses on the differences in dopamine β-hydroxylase (DbH) neuron activation between various environmental conditions.

Text Mining, Sentiment Analysis, Statistical Analysis

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

TradingView client

This is the whole assignment that we solved during the 3 months workshop. :)

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

This is an exploration of data science & machine learning, including various data analysis, preprocessing and modeling methods in python and mathematics behind them.

Replicating papers from the epidemiology and causal inference literature.

The program processes CSV files to capture and format file contents, generate custom directories of files, extract data, perform analysis, and generate MATLAB script(s) for visualization and further analysis.