rserran
Industrial engineer, Machinery & Equipment Appraiser, Business analyst/data scientist.
Adventurous AnalyticsOrlando, FL
rserran's Stars
keitazoumana/Medium-Articles-Notebooks
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
trevismd/statannotations
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
r4ds/bookclub-feat_eng
aws-samples/aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
robjhyndman/fpp3
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
EvaMaeRey/ggxmean
microsoft/workshop-library
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities
cathytanimura/sql_book
Code repository for the book SQL for Data Analysis
r4ds/bookclub-fpp
sktime/sktime-workshop-pydata-london-2022
PyData London 2022 sktime workshop
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
PacktPublishing/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
mlrun/demos
End to end MLRun demos
holoviz/holoviz
High-level tools to simplify visualization in Python.
Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
PacktPublishing/Getting-started-with-Streamlit-for-Data-Science
Getting started with Streamlit for Data Science, published by Packt
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
DarrenCook/h2o
For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
oscarbaruffa/BigBookofR
The biggest collection of R books (and maybe later some other resources too)
Sirsirious/NLPTools
A set of NLP tools created during my medium NLP Explanation series.
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
cmcmaster1/torchtabular
A package for training SAINT and TabTransformer variant models in R using {torch}
anindyamozumdar/categorical_encoding
R code to encode categorical features for machine learning
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium