rserran/xgboost Fork of dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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rserran/bayestestR Fork of easystats/bayestestR

:ghost: Utilities for analyzing Bayesian models and posterior distributions

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rserran/data.table Fork of Rdatatable/data.table

R's data.table package extends data.frame:

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rserran/medium_articles Fork of erykml/medium_articles

Scripts used for articles published on Medium

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rserran/scikit-learn Fork of scikit-learn/scikit-learn

scikit-learn: machine learning in Python

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rserran/sktime Fork of sktime/sktime

A unified framework for machine learning with time series

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rserran/scikit-survival Fork of sebp/scikit-survival

Survival analysis built on top of scikit-learn

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rserran/bookclub-mshiny Fork of r4ds/bookclub-mshiny

Mastering Shiny Book Club

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rserran/darts Fork of unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

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rserran/giskard Fork of Giskard-AI/giskard

The testing framework dedicated to ML models, from tabular to LLMs 🛡️🧑‍🔬

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rserran/ggstatsplot Fork of IndrajeetPatil/ggstatsplot

Collection of functions to enhance ggplot2 plots with results from statistical tests.

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rserran/LightGBM Fork of microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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rserran/llama_parse Fork of run-llama/llama_parse

Parse files for optimal RAG

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rserran/time-series-analysis Fork of marcopeix/time-series-analysis

Collection of notebooks for time series analysis

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rserran/sparklyr Fork of sparklyr/sparklyr

R interface for Apache Spark

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rserran/meetup-presentations_bergen Fork of rladies/meetup-presentations_bergen

We're RLadies and we're from Bergen, Norway. Checkout the current info on meetup (https://www.meetup.com/rladies-bergen/)

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rserran/free_r_tips Fork of 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.

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rserran/ultimate-python Fork of huangsam/ultimate-python

Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

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rserran/mice Fork of amices/mice

Multivariate Imputation by Chained Equations

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rserran/sunday-quant-scientist Fork of quant-science/sunday-quant-scientist

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

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rserran/statsforecast Fork of Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

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rserran/klib Fork of akanz1/klib

Easy to use Python library of customized functions for cleaning and analyzing data.

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rserran/Emmetts-DS-NoteBooks Fork of emmaccode/Emmys-NoteBooks

Random notebooks for various projects.

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rserran/machine-learning-book Fork of rasbt/machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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rserran/neuralforecast Fork of Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

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rserran/seaborn Fork of mwaskom/seaborn

Statistical data visualization using matplotlib

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rserran/pycaret Fork of pycaret/pycaret

An open-source, low-code machine learning library in Python

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rserran/bookclub-ema Fork of r4ds/bookclub-ema

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rserran/workshops Fork of tidymodels/workshops

Website and materials for tidymodels workshops

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rserran/shinyexperiments Fork of barnesparker/shinyexperiments

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rserran/codes_for_articles Fork of dataman-git/codes_for_articles

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rserran/survival_analysis

ISLR Chapter 11 - Survival Analysis

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rserran/r-color-palettes Fork of EmilHvitfeldt/r-color-palettes

Comprehensive list of color palettes available in r ❤️🧡💛💚💙💜

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rserran/ggxmean Fork of EvaMaeRey/ggxmean

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rserran/Presentations Fork of sqlworldwide/Presentations

All presentations and demo code

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rserran/MEDIUM_NoteBook Fork of cerlymarco/MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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rserran/ThinkBayes2 Fork of AllenDowney/ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

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rserran/generative_ai_with_langchain Fork of 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.

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rserran/qeML Fork of matloff/qeML

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rserran/rap4all Fork of b-rodrigues/rap4all

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rserran/ISLP-1 Fork of arpanganguli/ISLP

Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)

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rserran/tidycensus Fork of walkerke/tidycensus

Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

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rserran/housing Fork of b-rodrigues/housing

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rserran/Developing-Kaggle-Notebooks Fork of PacktPublishing/Developing-Kaggle-Notebooks

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rserran/pyquant Fork of DataStrategyPro/pyquant

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rserran/ETC3550Slides Fork of robjhyndman/ETC3550Slides

Slides for a forecasting course based on "Forecasting: Principles and Practice"

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rserran/practical-statistics-for-data-scientists Fork of gedeck/practical-statistics-for-data-scientists

Code repository for O'Reilly book

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rserran/dlookr Fork of choonghyunryu/dlookr

Tools for Data Diagnosis, Exploration, Transformation

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rserran/Machine-Learning-Engineering-with-Python-Second-Edition Fork of PacktPublishing/Machine-Learning-Engineering-with-Python-Second-Edition

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rserran/handson-ml3 Fork of ageron/handson-ml3

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.

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rserran/Quarto-Project-Example Fork of 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

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rserran/resources Fork of pymc-devs/pymc-resources

PyMC3 educational resources

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rserran/ISLP Fork of intro-stat-learning/ISLP

ISLP package: data and code for labs

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rserran/datatable Fork of h2oai/datatable

data.table for Python

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rserran/workshop-library Fork of microsoft/workshop-library

A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities

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rserran/solve-any-data-analysis-problem Fork of davidasboth/solve-any-data-analysis-problem

Accompanying data and code for Solve Any Data Analysis Problem (Manning, 2024)

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rserran/tpot Fork of EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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rserran/OMLDS_ML_Project_2023 Fork of OMLDS/OMLDS_ML_Project_2023

OMLDS End-to-End Machine Learning Project

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rserran/datahour-gen-ai-nlp-chaining Fork of ianyu93/datahour-gen-ai-nlp-chaining

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rserran/wesanderson Fork of karthik/wesanderson

A Wes Anderson color palette for R

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rserran/ThinkStats2 Fork of AllenDowney/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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rserran/bookclub-tmwr Fork of r4ds/bookclub-tmwr

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rserran/missing_data_workshop

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rserran/sql_book Fork of cathytanimura/sql_book

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rserran/power_bi_panama_ug

Power Bi Panama User Group Talks

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rserran/pytimetk Fork of business-science/pytimetk

The time series toolkit for python.

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rserran/ISL-Solution-Book Fork of AngelFelizR/ISL-Solution-Book

The purpose of creating this book is share the lessons learnt by reading and completing the exercises in the book. It also could work as summary of the main point of the book.

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rserran/t81_558_deep_learning Fork of jeffheaton/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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rserran/catboost Fork of catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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rserran/vetiver Fork of posit-conf-2023/vetiver

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rserran/libminer

Explore Your R Libraries

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rserran/bookclub-islp Fork of r4ds/bookclub-islp

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rserran/bookclub-islr Fork of r4ds/bookclub-islr

Introduction to Statistical Learning Using R Book Club

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rserran/Modern-Time-Series-Forecasting-with-Python Fork of PacktPublishing/Modern-Time-Series-Forecasting-with-Python

Modern Time Series Forecasting with Python, published by Packt

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rserran/ElementsOfDataScience Fork of AllenDowney/ElementsOfDataScience

An introduction to data science in Python, for people with no programming experience.

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rserran/applied-ml Fork of eugeneyan/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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rserran/talk-forecast-to-fable Fork of mitchelloharawild/talk-forecast-to-fable

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rserran/Heart-Failure-Condition-And-Survival-Analysis Fork of sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

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rserran/WiP-rdatatable Fork of saghirb/WiP-rdatatable

Women in Parliament: R 'data.table' Case Study

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rserran/Winnipeg Fork of amices/Winnipeg

Handling Missing Data in R with MICE

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rserran/WiP-tidyverse Fork of saghirb/WiP-tidyverse

Women in Parliament: R tidyverse Case Study

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rserran/visdat Fork of ropensci/visdat

Preliminary Exploratory Visualisation of Data

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rserran/TopIncomes Fork of freakonometrics/TopIncomes

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rserran/the_data_science_handbook Fork of field-cady/the_data_science_handbook

Source code for The Data Science Handbook

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rserran/torchtabular Fork of cmcmaster1/torchtabular

A package for training SAINT and TabTransformer variant models in R using {torch}

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rserran/tutorials Fork of zabore/tutorials

A repository for tutorials I have linked to my website

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rserran/webinars Fork of rstudio/webinars

Code and slides for RStudio webinars

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rserran/tidytuesday Fork of rfordatascience/tidytuesday

Official repo for the #tidytuesday project

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rserran/time-series-forecasting-with-python Fork of jiwidi/time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

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rserran/useR2019-materials Fork of sowla/useR2019-materials

Links to materials from tutorials and talks from useR 2019

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rserran/tidytuesdays Fork of jkaupp/tidytuesdays

Entries for tidytuesday

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rserran/Tidy-Tuesday Fork of andrew-couch/Tidy-Tuesday

Tidy Tuesday Projects

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rserran/The-Kaggle-Book Fork of PacktPublishing/The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

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rserran/The-Elements-of-Statistical-Learning-Python-Notebooks Fork of empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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rserran/OMLDS_Outliers Fork of RBergeron/Machine_learning_data_prep_intro

Outliers Presentation and Notebook given Oct 26, 2021

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rserran/statistics-for-data-scientists Fork of andrewgbruce/statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

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rserran/statrethinking_winter2019 Fork of rmcelreath/statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

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rserran/socviz Fork of kjhealy/socviz

Support files for a data visualization course and book

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rserran/sat_act_analysis Fork of cbratkovics/sat_act_analysis

Analysis of SAT/ACT data per state in 2017 and 2018

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rserran/statsintro_python Fork of thomas-haslwanter/statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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