Beast code in Giters

PSTAT197-F23's repositories

Capstone-Scripps

Collaboration of UCSB Data Science Capstone students and CalCOFI to generate RShiny App for visualizing CalCOFI marine mammal visual observations and eDNA detections

Language:Jupyter NotebookMIT200

capstone-CCBER

UCSB Data Science Capstone: CCBER 2024

Language:Jupyter Notebook300

vignette-XGBoost

XGBoost in R and application on fraud detection

Language:HTML000

vignette-RandomForest

Vignette on implementing Random Forest using hotel reservation data - Group 3

Language:HTML000

Vignette-Random-Forests

Introduction and Implementation of Random Forest Models

Language:HTML000

Vignette-of-Binary-Classification

Binary Classification in R and application to classify patients with diabetes

Language:HTML000

vignette-bootstrapping

Vignette on bootstrapping and applications in machine learning.

Language:HTML000

vignette-SVM-XGBoost

Final Project-- Lu Liu, Haoran Yan, Shuai Yuan, Irena Wong

Language:HTML000

vignette-geospatialDataStructure

Language:HTML100

vignette-tsforecasting

Vignette on implementing time series analysis on Gas Price data

Language:HTML000

vignette-group5

Kaitlyn Lee, Sanaz Ebrahimi, Yoobin Won, Aron Ma, Dylan Fu

Language:HTML000

vignette-group10-RNN

Ashwath Ekambaram, Rohit Kavuluru, Aarya Kulkarni

Language:HTML000

vignette-super-resolution

Construct an Efficient Sub-Pixel Convolutional Neural Network in Python for Image Super Resolution

Language:Jupyter Notebook000

vignette-regression-shrinkage-methods

Using the Hitters dataset, the study investigates the impact of Ridge and Lasso regression in handling multicollinearity and variable selection. The process involves data exploration, tidying, and the implementation of both Ridge and Lasso regression models.

Language:HTML000