rserran
Industrial engineer, Machinery & Equipment Appraiser, Business analyst/data scientist.
Adventurous AnalyticsOrlando, FL
rserran's Stars
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
business-science/awesome-generative-ai
A curated list of resources for building and deploying generative AI specifically focusing on helping you become a GenAI developer with LLMs
tylerjrichards/Streamlit-for-Data-Science
A repo for the book 'Streamlit for Data Science' by Tyler Richards
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
PacktPublishing/Extending-Power-BI-with-Python-and-R-2nd-edition
Extending Power BI with Python and R, 2nd edition, published by Packt
PacktPublishing/Extending-Power-BI-with-Python-and-R
Extending Power BI with Python and R
Nixtla/fpp3-python
Forecasting: principles and practice in python
EmilHvitfeldt/smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
ozkary/data-engineering-mta-turnstile
Data Engineering - Metropolitan Transportation Authority (MTA) Subway Data Analysis
deepfindr/xai-series
run-llama/llama_parse
Parse files for optimal RAG
sebp/scikit-survival
Survival analysis built on top of scikit-learn
pymc-labs/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
deepshamenghani/shinypython_meetup
JamesHWade/build-a-chatbot
DataStrategyPro/pyquant
PacktPublishing/Developing-Kaggle-Notebooks
benman1/generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
spsanderson/tidyAML
Auto ML for the tidyverse
UCSBCarpentry/Quarto-Project-Example
This is the sample repo used for the Reproducibility with Rstudio lesson. It contains the datasets, figures, and documents used for a Quarto Project
barnesparker/shinyexperiments
business-science/free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
matloff/qeML
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
marcopeix/time-series-analysis
Collection of notebooks for time series analysis
AxsPlayer/Tool_Auto-FE
Step3: Automatically Feature Engineering for Machine Learning.
tashapiro/intro-observable
This is an introductory workshop hosted by R-Ladies Philadelphia. Participants will sample how to use Observable Notebooks, Observable Plot, and combine Observable with R Quarto.
davidasboth/solve-any-data-analysis-problem
Accompanying data and code for Solve Any Data Analysis Problem (Manning, 2024)