Guang's repositories
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
openai-cookbook
Examples and guides for using the OpenAI API
531w21-Analysis-of-Time-Series
Stats 531 (Winter 2021) ‘Analysis of Time Series’ (https://ionides.github.io/531w21/)
Advanced_RAG
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
algorithms-sedgewick-python
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
artofpostgresql
repo hold my artifacts working through the book, The Art of PostgreSQL
calm-notebooks-scikit-learn-crash-course
notebooks that are used at calmcode.io https://www.youtube.com/watch?v=0B5eIE_1vpU
cheatsheets
RStudio Cheat Sheets
Data_Analysis_and_Prediction_Algorithms_with_R
Repository for data science book
DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
The bookdown version lives here: https://bookdown.org/content/3686
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
GeoDataSets
Synthetic datasets for geoscience (geo)statistical modeling
GradientDescentExample
Example demonstrating how gradient descent may be used to solve a linear regression problem
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
LaTeX-Beginner-s-Guide-Second-Edition
LaTeX Beginner's Guide - Second Edition, published by Packt
pandas-tutorial
This is the cheat sheet Jupyter Notebook I made for my Pandas Learn in One Video Tutorial. I basically condensed the Pandas API down into this one cheat sheet with hundreds of examples. I hope you find it useful.
PySpark_DataFrame_SQL_Basics
The Repository for all code I use in my Data Science and Machine Learning Tutorials on YouTube
python3-cookbook-
《Python Cookbook》 3rd Edition Translation
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
pytorch-deep-learning_youtube
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
R-Tutorial-Data-Files
Contains data files that are referenced in R tutorials from the following YouTube playlist: https://www.youtube.com/playlist?list=PLKkRkURCtPjCJOZHskCoyJCPb8wMDs2CW
rag-chatbot
https://medium.com/dp6-us-blog/how-to-create-a-chatbot-with-your-own-documents-using-langchain-and-chatgpt-09268c12de28
stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
statsofdoom-files
Files for courses avalaible on statstools
youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.