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catboost
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A collection of research papers on decision, classification and regression trees with implementations.
classifier
machine-learning
random-forest
statistical-learning
xgboost
lightgbm
gradient-boosting-machine
ensemble-learning
cart
decision-tree
tree-ensemble
decision-tree-classifier
gradient-boosting
classification-trees
decision-tree-learning
decision-tree-model
classification-model
catboost
regression-tree
machine-learning-research
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Jul 25, 2021 - Python
pplonski
commented
Jun 25, 2021
Details in discussion mljar/mljar-supervised#421
A curated list of gradient boosting research papers with implementations.
classifier
machine-learning
deep-learning
random-forest
h2o
xgboost
lightgbm
gradient-boosting-machine
adaboost
decision-tree
gradient-boosting-classifier
classification-algorithm
gradient-boosting
boosting
classification-trees
xgboost-algorithm
catboost
gradient-boosted-trees
classification-tree
gradient-boosting-decision-trees
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Jul 25, 2021 - Python
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
python
data-science
machine-learning
ai
deep-learning
neural-network
optimization
scikit-learn
sklearn
keras
ml
artificial-intelligence
xgboost
hyperparameter-optimization
experimentation
lightgbm
feature-engineering
hyperparameter-tuning
catboost
rgf
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Jan 20, 2021 - Python
CatBoost tutorials repository
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Jun 25, 2021 - Jupyter Notebook
A full pipeline AutoML tool for tabular data
tabular-data
xgboost
semi-supervised-learning
gbm
lightgbm
ensemble-learning
dask
preprocessing
automl
distributed-training
datacleaning
catboost
pseudo-labeling
fullpipeline
adversarial-validation
automl-pipeline-selection
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Jul 16, 2021 - Jupyter Notebook
AI比赛相关信息汇总
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Mar 29, 2020
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
python
data-science
machine-learning
sql
deep-learning
feature-selection
kaggle-competition
gan
model-selection
xgboost
hyperparameter-optimization
lightgbm
feature-engineering
automl
catboost
model-fusion
tianchi-competition
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Mar 16, 2021 - Python
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
r
timeseries
h2o
regression
supervised-learning
xgboost
classification
gpu-acceleration
lightgbm
recommender-system
feature-engineering
unsupervised-learning
panel-data
multiclass-classification
automated-machine-learning
anomaly-detection
catboost
intermittent-demand
funnel-data
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Jul 29, 2021 - R
Comparison tools
quality
benchmark
gpu
h2o
regression
kaggle
speed
comparison
ranking
xgboost
classification
lightgbm
catboost
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Sep 24, 2019 - Jupyter Notebook
An extension of CatBoost to probabilistic forecasting
machine-learning
gamlss
uncertainty-estimation
catboost
prediction-intervals
distributional-regression
probabilistic-forecasts
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Jan 8, 2020
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
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Apr 26, 2021 - Julia
Machine Learning University: Decision Trees and Ensemble Methods
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Dec 19, 2020 - Jupyter Notebook
AutoFlow : Automatic machine learning workflow modeling platform
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Oct 12, 2020 - Python
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
python
machine-learning
paper
machine-learning-algorithms
gradient-boosting
catboost
influence-functions
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Mar 3, 2018 - Python
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
nlp
data-science
machine-learning
statistics
computer-vision
random-forest
data-visualization
recommendation-system
logistic-regression
support-vector-machines
decision-tree-classifier
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knearest-neighbor-algorithm
oversampling
supervised-machine-learning
unsupervised-machine-learning
catboost
ensemble-machine-learning
machinelearningprojects
datascienceproject
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Jun 24, 2020 - Jupyter Notebook
Amazon SageMaker Local Mode Examples
tensorflow
scikit-learn
pytorch
lightgbm
pycharm
prophet
tensorflow-training
catboost
sagemaker
amazon-sagemaker
tensorflow2
huggingface
prophet-model
pytorch-training
sagemaker-processing
huggingface-transformers
hdbscan-clustering-algorithm
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Jul 14, 2021 - Python
Python Scripts and Jupyter Notebooks
python
data-science
machine-learning
data-mining
news
telegram
dashboard
bitcoin
plotly
dash
web-scraping
data-visualisation
xgboost
lightgbm
data-analysis
beautifulsoup
hyperparameters-optimization
bayesian-optimization
hyperparameter-tuning
catboost
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Mar 31, 2021 - Jupyter Notebook
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
nodejs
python
github-api
machine-learning
deep-neural-networks
deep-learning
random-forest
github-stars
keras
prediction
data-visualization
seaborn
xgboost
matplotlib
catboost
gradient-boosting-regressor
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Mar 1, 2018 - Jupyter Notebook
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
visualization
python
data-science
pandas
seaborn
feature-selection
data-analysis
data-preprocessing
python27
gradient-boosting-classifier
gradient-boosting
pearson-correlation
one-hot-encode
catboost
variance-analysis
yandex-catboost
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Dec 5, 2019 - Jupyter Notebook
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
python
statistics
xgboost
machinelearning
boosting
datavisualization
analytics-vidhya-competition
dataanalysis
catboost
datapreprocessing
googlecolab
featureextraction
lgboost
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May 23, 2019 - Jupyter Notebook
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
challenge
recurrent-neural-networks
xgboost
recommender
lightgbm
learning-to-rank
acm
recommender-system
recommender-systems
recommendation-algorithms
catboost
tensorflow-ranking
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Jun 8, 2021 - Jupyter Notebook
Example of order book modeling.
time-series
stock-market
stock-price-prediction
orderbook
gradient-boosting
catboost
time-series-forecasting
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Jun 18, 2019 - Jupyter Notebook
machine-learning
xgboost
gbdt
gbm
lightgbm
ensemble-learning
decision-trees
gradient-boosting
catboost
model-stacking
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Feb 7, 2021 - R
r
deep-neural-networks
time-series
random-forest
data-analysis
mlp
xgboost-model
catboost
prophet-model
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Jan 18, 2021 - Jupyter Notebook
PyRasgo
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Jun 29, 2021 - Python
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
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Apr 7, 2020 - Python
34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).
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May 2, 2019 - Jupyter Notebook
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It would be great to have FBeta, F2, or F0.5 metrics to be implemented without the need for a custom metric class defined by user.
catboost version: 0.26