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R
R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
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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.
microsoft
python
machine-learning
data-mining
r
parallel
distributed
kaggle
accuracy
gbdt
gbm
lightgbm
gbrt
decision-trees
gradient-boosting
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Jul 17, 2020 - C++
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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Jul 15, 2020 - Python
List of Data Science Cheatsheets to rule the world
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Oct 31, 2019
mal - Make a Lisp
javascript
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c-sharp
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docker
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lisp
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lisp-interpreter
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Jul 12, 2020 - Assembly
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.
python
data-science
machine-learning
data-mining
tutorial
r
big-data
gpu
cuda
kaggle
gbdt
gbm
gpu-computing
decision-trees
gradient-boosting
coreml
catboost
categorical-features
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Jul 17, 2020 - C++
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
python
java
data-science
machine-learning
multi-threading
opensource
r
big-data
spark
deep-learning
hadoop
random-forest
gpu
naive-bayes
h2o
distributed
pca
gbm
ensemble-learning
automl
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Jul 17, 2020 - Jupyter Notebook
An implementation of the Grammar of Graphics in R
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Jul 13, 2020 - R
A curated list of awesome R packages, frameworks and software.
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May 9, 2020 - R
A general-purpose tool for dynamic report generation in R
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Jul 15, 2020 - R
中国的Quant相关资源索引
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May 14, 2020
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
python
data-science
machine-learning
r
spark
deep-learning
random-forest
h2o
xgboost
gradient-boosting-machine
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Aug 19, 2019 - R
An interactive graphing library for R
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Jun 26, 2020 - R
A curated list of awesome machine learning interpretability resources.
python
data-science
machine-learning
data-mining
awesome
r
awesome-list
transparency
fairness
accountability
interpretability
interpretable-deep-learning
interpretable-ai
interpretable-ml
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
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Jul 13, 2020
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies
javascript
ruby
python
c
java
go
php
machine-learning
haskell
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lightning
csharp
scikit-learn
machine-learning-algorithms
statistical-learning
xgboost
lightgbm
machine-learning-library
statsmodels
dartlang
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Jul 16, 2020 - Python
a curated list of R tutorials for Data Science, NLP and Machine Learning
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Apr 18, 2018 - R
Machine Learning in R
data-science
machine-learning
cran
tutorial
r
statistics
clustering
regression
feature-selection
tuning
classification
survival-analysis
r-package
hyperparameters-optimization
predictive-modeling
imbalance-correction
mlr
learners
stacking
multilabel-classification
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Jul 14, 2020 - R
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
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Jul 15, 2020 - HTML
Time Series Forecasting Best Practices & Examples
python
machine-learning
r
deep-learning
time-series
best-practices
jupyter-notebook
tidyverse
artificial-intelligence
forecasting
lightgbm
retail
prophet
hyperparameter-tuning
demand-forecasting
automl
model-deployment
azure-ml
dilated-cnn
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Jul 16, 2020 - Python
Created by Ross Ihaka, Robert Gentleman
Released August 1993
- Website
- www.r-project.org
- Wikipedia
- Wikipedia
On the chapter about Editable DataTable
we can find this :