Alternatives and similar repositories for towards_data_science

Users that are interested in towards_data_science are comparing it to the libraries listed below

• robjhyndman / ETC3580
  Teaching materials for ETC3580
  ☆25Updated 6 years ago
• mine-cetinkaya-rundel / teach-data-science
  Materials for the Teaching Data Science workshop at JSM 2019
  ☆21Updated 6 years ago
• robertgrant / dataviz-book
  "Data Visualization: charts, maps and interactive graphics" (the making of)
  ☆28Updated 3 years ago
• andremonaco / cheapml
  Machine Learning algorithms coded from scratch
  ☆22Updated 4 years ago
• jessecambon / Data-Science-Sandbox
  Code and resources to serve as a starting point for data science projects.
  ☆22Updated 3 years ago
• RamiKrispin / Hands-On-Time-Series-Analysis-with-R
  Hands-On-Time-Series-Analysis-with-R
  ☆38Updated 6 years ago
• keithmcnulty / r_and_py_models
  How to run Python ML models in R
  ☆17Updated 4 years ago
• m-clark / data-processing-and-visualization
  This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Py…
  ☆31Updated 4 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• rasbt / posit2023-python-ml
  Workshop materials for posit::conf(2023)
  ☆28Updated last year
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 6 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 3 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated last year
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated last year
• topepo / 2021-NYR
  ☆11Updated 3 years ago
• revodavid / mlops-r-gha
  ☆38Updated 4 years ago
• anindyamozumdar / categorical_encoding
  R code to encode categorical features for machine learning
  ☆15Updated 3 years ago
• RamiKrispin / italy_dash
  A summary dashboard of the covid19 cases in Italy
  ☆78Updated 2 years ago
• topepo / nyr-2020
  Materials for the 2020 NYR Machine Learning workshop
  ☆21Updated 5 years ago
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated last year
• mark-andrews / gesis-48-bayesian-multilevel
  Bayesian multilevel models course for Gesis 48. March 2019
  ☆13Updated 6 years ago
• pbiecek / XAIatERUM2020
  Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
  ☆52Updated 4 years ago
• uc-r / Intermediate-R
  Intermediate R training material delivered in a 2 day format
  ☆35Updated 5 years ago
• vcerqueira / tsensembler
  R package - Dynamic Ensembles for Time Series Forecasting
  ☆32Updated 4 years ago
• mine-cetinkaya-rundel / sta101-s16
  Course materials for Sta 101 - Spring 2016 semester at Duke University
  ☆38Updated 9 years ago
• socalrug / presentations
  ☆42Updated last year
• nhs-r-community / shiny-training
  One day Shiny training for health and care analysts
  ☆39Updated 2 years ago
• wesslen / Topic-Modeling-Workshop-with-R
  A workshop on analyzing topic modeling (LDA, CTM, STM) using R
  ☆52Updated 7 years ago
• gasparrini / 2017_lopezbernal_IJE_codedata
  ​A tutorial on interrupted time series regression for the evaluation of public health interventions
  ☆26Updated 4 months ago
• prasanna7 / Causal_Inference
  Repository of projects focusing on discussion about experimental design and causal inference between variables using techniques like matc…
  ☆16Updated 6 years ago