Projects in Awesome Lists tagged with xgboost

https://github.com/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, Dask, Flink and DataFlow

distributed-systems gbdt gbm gbrt machine-learning xgboost

Last synced: 16 Dec 2024

https://github.com/mingchaozhu/deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 19 Dec 2024

https://github.com/MingchaoZhu/DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 09 Nov 2024

https://github.com/alibaba/alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 17 Dec 2024

https://github.com/kserve/kserve

Standardized Serverless ML Inference Platform on Kubernetes

artificial-intelligence genai hacktoberfest istio k8s knative kserve kubeflow kubernetes llm-inference machine-learning mlops model-interpretability model-serving pytorch service-mesh sklearn tensorflow xgboost

Last synced: 16 Dec 2024

https://github.com/alibaba/Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 26 Oct 2024

https://github.com/mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost

Last synced: 17 Dec 2024

https://github.com/parrt/dtreeviz

A python library for decision tree visualization and model interpretation.

data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost

Last synced: 16 Dec 2024

https://github.com/bayeswitnesses/m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 17 Dec 2024

https://github.com/BayesWitnesses/m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost

Last synced: 26 Oct 2024

https://github.com/teamhg-memex/eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

crfsuite data-science explanation inspection lightgbm machine-learning nlp python scikit-learn xgboost

Last synced: 20 Dec 2024

https://github.com/TeamHG-Memex/eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

crfsuite data-science explanation inspection lightgbm machine-learning nlp python scikit-learn xgboost

Last synced: 09 Nov 2024

https://github.com/mars-project/mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost

Last synced: 17 Dec 2024

https://github.com/jolibrain/deepdetect

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

caffe deep-learning gpu image-classification image-search image-segmentation machine-learning ncnn neural-nets object-detection pytorch rest-api tensorrt tensorrt-conversion tensorrt-inference time-series tsne xgboost

Last synced: 18 Dec 2024

https://github.com/szilard/benchm-ml

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.).

data-science deep-learning gradient-boosting-machine h2o machine-learning python r random-forest spark xgboost

Last synced: 21 Dec 2024

https://github.com/minimaxir/automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

automl keras machine-learning python tensorflow xgboost

Last synced: 20 Dec 2024

https://github.com/autoviml/autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 17 Dec 2024

https://github.com/AutoViML/AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 26 Oct 2024

https://github.com/ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 06 Nov 2024

https://github.com/climbsrocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 20 Dec 2024

https://github.com/kubeflow/training-operator

Distributed ML Training and Fine-Tuning on Kubernetes

ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost

Last synced: 19 Dec 2024

https://github.com/axelderomblay/mlbox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 20 Dec 2024

https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 11 Nov 2024

https://github.com/skforecast/skforecast

Time series forecasting with machine learning models

arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm lstm-neural-networks machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series xgboost

Last synced: 21 Dec 2024

https://github.com/xorbitsai/xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

data-science distributed-systems lightgbm machine-learning ml numpy pandas python scalable xgboost

Last synced: 18 Dec 2024

https://github.com/Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

dask forecast forecasting lightgbm machine-learning python time-series xgboost

Last synced: 05 Nov 2024

https://github.com/joaquinamatrodrigo/skforecast

Time series forecasting with scikit-learn models

arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series weighted-time-series-forecasting xgboost

Last synced: 10 Oct 2024

https://github.com/the-black-knight-01/Data-Science-Competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

analytics-vidhya competition-code competitive-data-science-github data-science data-science-competition data-science-competitions datahack-competition kaggle kaggle-competition kaggle-competition-for-beginners kaggle-competition-solutions kaggle-solutions-github kaggle-winning-solutions-github machine-learning machinehack-competition xgboost

Last synced: 29 Nov 2024

https://github.com/the-black-knight-01/data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

analytics-vidhya competition-code competitive-data-science-github data-science data-science-competition data-science-competitions datahack-competition kaggle kaggle-competition kaggle-competition-for-beginners kaggle-competition-solutions kaggle-solutions-github kaggle-winning-solutions-github machine-learning machinehack-competition xgboost

Last synced: 13 Nov 2024

https://github.com/seldonio/mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost

Last synced: 18 Dec 2024

https://github.com/SeldonIO/mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost

Last synced: 15 Nov 2024

https://github.com/HunterMcGushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 11 Nov 2024

https://github.com/huntermcgushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 15 Dec 2024

https://github.com/huangcongqing/ai_competitions

Last synced: 21 Dec 2024

https://github.com/autoviml/featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

best-encoders categorical-variables feature-engg feature-engineering feature-extraction feature-selection featuretools rfe rfecv xgboost

Last synced: 20 Dec 2024

https://github.com/AutoViML/featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

best-encoders categorical-variables feature-engg feature-engineering feature-extraction feature-selection featuretools rfe rfecv xgboost

Last synced: 25 Nov 2024

https://github.com/neptune-ai/neptune-client

📘 The experiment tracker for foundation model training

comparison dl foundation keras learning lightgbm llm logger logging machine ml mlops monitoring optuna pytorch rl tensorflow versioning visualization xgboost

Last synced: 18 Dec 2024

https://github.com/openscoring/openscoring

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

apache-spark api lightgbm pmml r real-time scikit-learn xgboost

Last synced: 19 Dec 2024

https://github.com/statmixedml/xgboostlss

An extension of XGBoost to probabilistic modelling

distributional-regression gamlss machine-learning mixture-density-model multi-target-regression normalizing-flows prediction-intervals probabilistic-forecasts uncertainty-estimation xgboost

Last synced: 17 Dec 2024

https://github.com/autoviml/auto_viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost

Last synced: 19 Dec 2024

https://github.com/linkedin/FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 27 Nov 2024

https://github.com/simonblanke/hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 19 Dec 2024

https://github.com/linkedin/fasttreeshap

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 13 Nov 2024

https://github.com/SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Nov 2024

https://github.com/SeldonIO/MLServer

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost

Last synced: 30 Oct 2024

https://github.com/AutoViML/Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost

Last synced: 02 Nov 2024

https://github.com/h2oai/mli-resources

H2O.ai Machine Learning Interpretability Resources

accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost

Last synced: 15 Dec 2024

https://github.com/spotify/featran

A Scala feature transformation library for data science and machine learning

algebird breeze data flink ml scala scalding scio spark tensorflow xgboost

Last synced: 20 Dec 2024

https://github.com/dmitryikh/leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

boosting decision-trees go golang lightgbm machine-learning xgboost

Last synced: 13 Nov 2024

https://github.com/elucideye/drishti

Real time eye tracking for embedded and mobile devices.

acf android c-plus-plus dlib drishti eye-tracking face-detection face-tracking gradient-boosting hunter ios object-detection xgboost

Last synced: 16 Dec 2024

https://github.com/yzkang/My-Data-Competition-Experience

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

automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost

Last synced: 11 Nov 2024

https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 28 Nov 2024

https://github.com/maxim5/time-series-machine-learning

Machine learning models for time series analysis

bitcoin blockchain cryptocurrency deep-learning ethereum financial-engineering machine-learning neural-network poloniex-api poloniex-trade-bot python quantitative-finance recurrent-neural-networks statistics tensorflow time-series time-series-prediction xgboost

Last synced: 16 Dec 2024

https://github.com/datacanvasio/hypergbm

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 20 Dec 2024

https://github.com/DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 16 Nov 2024

https://github.com/wepe/tgboost

Tiny Gradient Boosting Tree

boosted-trees gradient-boosting-machine machine-learning sliq xgboost

Last synced: 17 Dec 2024

https://github.com/aipredict/ai-deployment

关注AI模型上线、模型部署

deploy keras lightgbm mxnet onnx pmml pyspark pytorch scikit-learn spark-ml tensorflow xgboost

Last synced: 30 Oct 2024

https://github.com/mlwhiz/data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

blogging chatbot data datascience gan graphs machine-learning mcmc python spark streamlit time-series xgboost

Last synced: 15 Dec 2024

https://github.com/MLWhiz/data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

blogging chatbot data datascience gan graphs machine-learning mcmc python spark streamlit time-series xgboost

Last synced: 13 Nov 2024

https://github.com/AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 11 Nov 2024

https://github.com/aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

boosting catboost decision-trees lightgbm machine-learning random-forest tabular-data xgboost

Last synced: 16 Nov 2024

https://github.com/alex-lekov/automl_alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 21 Dec 2024

https://github.com/Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 22 Nov 2024

https://github.com/codewithzichao/machine_learning_code

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

crf fm-ffm hmm machine-learning-algorithms python xgboost

Last synced: 19 Dec 2024

https://github.com/ikki407/stacking

Stacked Generalization (Ensemble Learning)

ensemble ensemble-learning prediction scikit-learn stacking xgboost

Last synced: 17 Dec 2024

https://github.com/chasedehan/boostaroota

A fast xgboost feature selection algorithm

algorithm boruta data-science datascience datascientist dimension-reduction feature-selection machine-learning machine-learning-algorithms machinelearning xgboost xgboost-algorithm

Last synced: 15 Dec 2024

https://github.com/szilard/gbm-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 16 Nov 2024

https://github.com/szilard/GBM-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 25 Oct 2024

https://github.com/Laurae2/Laurae

Advanced High Performance Data Science Toolbox for R by Laurae

data-science laurae machine-learning r supervised-learning xgboost

Last synced: 27 Nov 2024

https://github.com/dlab-berkeley/Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

cluster decision-trees dlab-berkeley lasso machine-learning pca random-forest superlearner tutorial xgboost

Last synced: 11 Nov 2024

https://github.com/softwareag/nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

lightgbm machine-learning nyoka pmml pmml-exporter python python-library scikit-learn statsmodels xgboost

Last synced: 20 Dec 2024

https://github.com/catboost/benchmarks

Comparison tools

benchmark catboost classification comparison gpu h2o kaggle lightgbm quality ranking regression speed xgboost

Last synced: 27 Nov 2024

https://github.com/bukosabino/btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost

Last synced: 12 Dec 2024

https://github.com/alexeygrigorev/outbrain-click-prediction-kaggle

Solution to the Outbrain Click Prediction competition

kaggle xgboost

Last synced: 27 Oct 2024

https://github.com/ray-project/xgboost_ray

Distributed XGBoost on Ray

dask data-science kaggle machine-learning modin xgboost

Last synced: 18 Dec 2024

https://github.com/aws/sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

aws distributed-training gbm inference machine-learning python sagemaker training xgboost

Last synced: 21 Dec 2024

https://github.com/seldonio/tempo

MLOps Python Library

kubernetes machine-learning mlops sklearn xgboost

Last synced: 15 Dec 2024

https://github.com/SeldonIO/tempo

MLOps Python Library

kubernetes machine-learning mlops sklearn xgboost

Last synced: 15 Nov 2024

https://github.com/petronetto/docker-python-deep-learning

A container for Deep Learning with Python 3

deep-learning docker jupyter keras machine-learning matplotlib mxnet notebook numpy pandas pyhton3 pytorch scikit-learn tensorflow xgboost

Last synced: 16 Nov 2024

https://github.com/ankane/xgboost-ruby

High performance gradient boosting for Ruby

machine-learning rubyml xgboost

Last synced: 15 Dec 2024

https://github.com/mc2-project/secure-xgboost

Secure collaborative training and inference for XGBoost.

collaborative-learning data-science enclave machine-learning privacy security xgboost

Last synced: 09 Nov 2024

https://github.com/jay-johnson/sci-pype

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

data-science devops-for-data-science docker docker-compose ipython ipython-notebook jupyter jupyter-notebook jupyter-themes machine-learning machine-learning-api predictive python red10 redis s3 seaborn stock-price-prediction xgb xgboost

Last synced: 11 Oct 2024

https://github.com/tatevkaren/data-science-popular-algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

data-science-portfolio datascience decision-tree kmeans lda lda-model linear-discriminant-analysis machine-learning movie-recommender python3 recommendation-system scala xgboost