GitHub topics: lightgbm | Ecosyste.ms: Repos

21spiderx/Spam-vs-Ham-Classification

An NLP project using Word2Vec, SMOTE and Ensemble ML models

Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

skforecast/skforecast

Time series forecasting with machine learning models

Language: Jupyter Notebook - Size: 539 MB - Last synced at: 1 day ago - Pushed at: 4 days ago - Stars: 1,314 - Forks: 156

aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Language: Python - Size: 5.94 MB - Last synced at: 1 day ago - Pushed at: 18 days ago - Stars: 257 - Forks: 63

StatMixedML/LightGBMLSS

An extension of LightGBM to probabilistic modelling

Language: Python - Size: 32 MB - Last synced at: about 5 hours ago - Pushed at: 11 months ago - Stars: 309 - Forks: 32

extremecoder-rgb/IPL-PREDICTION-MODEL

IPL Match Prediction Model

Language: Python - Size: 0 Bytes - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 2.62 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 22 - Forks: 3

Sisoodiya/HCAHPS-Rating-Predictor

This application uses machine learning to predict hospital ratings based on patient survey data. It features an enhanced model with high accuracy (98.42%) for predicting hospital star ratings from 1 to 5 stars.

Language: Python - Size: 2.16 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

TeamHG-Memex/eli5

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

Language: Jupyter Notebook - Size: 35.5 MB - Last synced at: 3 days ago - Pushed at: 28 days ago - Stars: 2,771 - Forks: 330

Yahlawat/Credit-Card-Default-Prediction

Predicting default payments using gradient boosting and ensemble machine learning models. Includes EDA, model comparison (Random Forest, XGBoost, LightGBM, etc.), ROC analysis, and feature importance on Taiwanese credit card client data.

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 2,399 - Forks: 343

HunterMcGushion/hyperparameter_hunter

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

Language: Python - Size: 7.27 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101

boubione/lightgbm-beaglebone

A minimal, stripped-down version of LightGBM optimized for edge devices running Debian 10, with no SciPy dependency. Perfect for embedded ARM systems like BeagleBone.

Language: Python - Size: 2.16 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

SeldonIO/MLServer

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

Language: Python - Size: 59.2 MB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 804 - Forks: 195

microsoft/SynapseML

Simple and Distributed Machine Learning

Language: Scala - Size: 155 MB - Last synced at: 4 days ago - Pushed at: 29 days ago - Stars: 5,126 - Forks: 842

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

Language: Python - Size: 1.22 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 2,875 - Forks: 247

DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

Language: Python - Size: 11 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 348 - Forks: 47

AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

Language: Python - Size: 50 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 1,515 - Forks: 274

mljar/mljar-supervised

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

Language: Python - Size: 9.44 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 3,153 - Forks: 422

Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

Language: Python - Size: 29.8 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 1,018 - Forks: 97

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.

Language: C++ - Size: 23.5 MB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 17,196 - Forks: 3,875

neZorinEgor/AdsAnalyzer

📰 Platform for analyzing the effectiveness of advertising campaigns by ml and data analys

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 6 - Forks: 0

DeepraMazumder/Cyberbullying-Detection-and-Analysis-in-Social-Media

ML and DL project to identify and analyze different forms of cyberbullying across social media platforms for automated abuse detection

Language: Jupyter Notebook - Size: 57.7 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

SuryaVamsi-P/Loan-Default-Prediction-System-Flask-ML

Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.

Language: Python - Size: 182 KB - Last synced at: about 16 hours ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

xorbitsai/xorbits

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

Language: Python - Size: 5.77 MB - Last synced at: 5 days ago - Pushed at: 23 days ago - Stars: 1,178 - Forks: 70

mars-project/mars

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

Language: Python - Size: 37 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 2,728 - Forks: 327

sonuprasad23/House-Prices---Advanced-Regression-Techniques

Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.

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elastic/eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Language: Python - Size: 20.9 MB - Last synced at: 6 days ago - Pushed at: 11 days ago - Stars: 676 - Forks: 109

MAGICS-LAB/SMUTF Fork of fireindark707/Python-Schema-Matching

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features

Language: Python - Size: 21.1 MB - Last synced at: 5 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 1

Shengwei-Peng/PV-Power-Generation-Forecasting

A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 7 - Forks: 1

ThomasBury/arfs

All Relevant Feature Selection

Language: Python - Size: 77.6 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 134 - Forks: 14

eZWALT/eZAutoML

A Democratized, lightweight and modern framework for Python Automated Machine Learning

Language: Python - Size: 1.41 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

neptune-ai/neptune-client

📘 The experiment tracker for foundation model training

Language: Python - Size: 13 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 614 - Forks: 65

siboehm/lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Language: Python - Size: 4.75 MB - Last synced at: 3 days ago - Pushed at: 12 days ago - Stars: 416 - Forks: 32

ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

Language: Python - Size: 1.38 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 1,646 - Forks: 312

Ramtin-Karbaschi/SpaceshipTitanic_LGBMmodel

The machine learning model is trained utilizing the LightGBM algorithm based on the "Spaceship Titanic" dataset.

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

coreymichaud/predicting-aids-deaths

Predicting AIDS deaths from a clinical study.

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 10 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

DeepWisdom/AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Language: Python - Size: 4.46 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 1,160 - Forks: 217

microsoft/lightgbm-transform

Transformation library for LightGBM

Language: C++ - Size: 4.17 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 8

HuangCongQing/AI_competitions

AI比赛相关信息汇总

Size: 75.2 KB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 637 - Forks: 124

jrzaurin/LightGBM-with-Focal-Loss

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

Language: Python - Size: 24.4 KB - Last synced at: 10 days ago - Pushed at: over 5 years ago - Stars: 253 - Forks: 40

Coderified/E2E-MLOps-Classifier

A LGBM Classifier dockerised and deployed on GCP employing MLFLOW for Experiment Tracking and Jenkins for CI/CD

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

MahdiKh03/titanic-in-space

A machine learning project to predict whether passengers were transported to an alternate dimension in the Spaceship Titanic dataset. It involves data cleaning, model training with LGBM and XGBoost, and model performance comparison.

Language: Jupyter Notebook - Size: 598 KB - Last synced at: 9 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

ankane/lightgbm-ruby

High performance gradient boosting for Ruby

Language: Ruby - Size: 3.75 MB - Last synced at: about 23 hours ago - Pushed at: 17 days ago - Stars: 81 - Forks: 4

dmitryikh/leaves

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

Language: Go - Size: 1.22 MB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 440 - Forks: 76

ZongXR/DCIC2024-PhotoVoltaic 📦

本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011排名21.

Language: Jupyter Notebook - Size: 1.46 GB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 8

Slaymish/malware-classifier-backdoors Fork of elastic/ember

Implementation of backdoor attacks and defenses in malware classification using machine learning models.

Language: Python - Size: 17.5 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

KeshavElangoDS/Mental-Health-Analysis-using-Social-Media-Data

Machine learning project to detect and classify mental health-related social media posts using NLP techniques for early intervention and awareness.

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

SoftwareAG/nyoka

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

Language: Python - Size: 34.4 MB - Last synced at: about 9 hours ago - Pushed at: over 1 year ago - Stars: 184 - Forks: 44

sanjushasuresh/PREDICTING-SOLAR-ENERGY-PRODUCTION

Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

surendiran-20cl/Kaggle-April-Playground-Series

Predicting podcast episode listening time using machine learning for Kaggle's April 2025 Playground Series. Built models like Random Forest, LightGBM, and ExtraTrees with feature engineering and evaluation. Achieved strong validation RMSE performance.

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

neptune-ai/open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

Language: Python - Size: 704 KB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 385 - Forks: 97

CelineBoutinon/credit-scoring

Source code for OpenClassrooms - Data Scientist Project 7 - Implement a Scoring Model (EDA & modelisation only)

Language: Python - Size: 27.9 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

FouetteBytes/Climate-Forecasting

Time series forecasting solution for predicting agricultural climate variables in Harveston using ensemble LightGBM models with advanced feature engineering. Our approach combines temporal, geographical, and meteorological features to accurately predict temperature, radiation, rainfall, and wind patterns for agricultural planning.

Language: Jupyter Notebook - Size: 7.36 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0

Giorgio121-star/Algorithmic-Trading-Bot

The-project-aims-to-evaluate-the-predictive-performance-of-different-machine-learning-(ML)-algorithms-for-Bitcoin-trading.-The-proposed-trading-strategy-integrates-key-technical-indicators,-including-the-Relative-Strength-Index-(RSI),-Simple-and-Exponential-Moving-Averages,-and-the-Moving-Average-Convergence-Divergence-(MACD).

Size: 0 Bytes - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

openscoring/openscoring

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

Language: Java - Size: 869 KB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 582 - Forks: 171

jameslamb/lightgbm-dask-testing

Test LightGBM's Dask integration on different cluster types

Language: Jupyter Notebook - Size: 105 KB - Last synced at: 2 days ago - Pushed at: 24 days ago - Stars: 12 - Forks: 5

Sugaharaa/fraud-detection

Detecção de fraudes em transações financeiras

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

cerlymarco/shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 576 - Forks: 73

BobLd/PdfPigMLNetBlockClassifier

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

Language: C# - Size: 1.1 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 28 - Forks: 6

feedzai/fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

Language: C++ - Size: 43 MB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 104 - Forks: 6

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Language: Python - Size: 1.48 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 1,022 - Forks: 160

blei-lab/treeffuser

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.

Language: Jupyter Notebook - Size: 80.3 MB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 43 - Forks: 4

sergio11/diabetes_prediction_ml

Predicting diabetes using machine learning models based on medical data 📊💉. The goal is to create an accurate and reliable diagnostic tool for early detection 🏥🤖.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 2

ZahirAhmadChaudhry/Recommendation_Systems_Kaggle

This repository documents our comprehensive approach to building an effective recommendation system for predicting customer repurchases on Carrefour's eCommerce platform. Starting with simple statistical methods and progressing to advanced neural network architectures, we've explored multiple approaches to tackle this recommendation challenge.

Language: Python - Size: 18 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

DeepraMazumder/Hotel-Reviews-Sentiment-Analysis

A Machine Learning project to predict sentiments from hotel reviews for automated guest satisfaction analysis

Language: Jupyter Notebook - Size: 68.7 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

deeko002/ctr-predictor-module

CTR prediction pipeline using SQL + LightGBM for real-time ad click forecasting

Language: Python - Size: 182 KB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

sanjurajveer/Fraud_detection

Model for categorising transactions into fraud or not

Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

ZongXR/DCIC2024-Offshore-Wind-Power 📦

本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55

Language: Jupyter Notebook - Size: 76.9 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 3

linkedin/FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

Language: Python - Size: 152 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 539 - Forks: 34

samresume/EnergyPredictor-Kaggle

This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofits, enabling fair billing and encouraging investment in energy efficiency.

Language: Jupyter Notebook - Size: 772 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

igopalakrishna/hotel-reservation-prediction

End-to-end MLOps project predicting hotel reservation cancellations using LightGBM, Flask, Docker, Jenkins, and Google Cloud Run.

Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ryfeus/lambda-packs

Precompiled packages for AWS Lambda

Language: Python - Size: 1.76 GB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 1,121 - Forks: 239

kyosek/NGBoost-experiments

Play around with NGBoost and compare with LightGBM and XGBoost

Language: Python - Size: 327 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 19 - Forks: 8

rishiraj/autolgbm

LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.

Language: Python - Size: 1.06 MB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 37 - Forks: 5

jrzaurin/RecoTour

A tour through recommendation algorithms in python [IN PROGRESS]

Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: about 9 hours ago - Pushed at: 5 months ago - Stars: 177 - Forks: 38

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

Language: Python - Size: 27.6 MB - Last synced at: 20 days ago - Pushed at: about 4 years ago - Stars: 393 - Forks: 68

ZongXR/DCIC2025-RiverWaterPrediction

闽江，福建省最大独流入海河流，流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下，如何缓解流域防汛压力，提升水资源利用率是水电企业高质量发展的重中之重。目前，基于传统水文学原理已实现未来9小时甲级精度的洪水预报，但存在遇见期与预见精度上仍有提升空间，因此，通过结合人工智能技术实现流域入库流量的精准预测，对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。

Language: Jupyter Notebook - Size: 216 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

association-rosia/crop-yield-estimate

Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.

Language: Python - Size: 22 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1

Arindam-GitH/FraudGuard-ML

A comprehensive machine learning project for detecting fraudulent payment transactions. Features 50,000 synthetic transactions, 4 ML models (Random Forest, XGBoost, LightGBM, CatBoost), 8 data visualizations, and SMOTE for handling class imbalance. Perfect for financial institutions and data scientists working on fraud detection systems.

Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

deenayy/Algorithmic-Trading-Bot

The-project-aims-to-evaluate-the-predictive-performance-of-different-machine-learning-(ML)-algorithms-for-Bitcoin-trading.-The-proposed-trading-strategy-integrates-key-technical-indicators,-including-the-Relative-Strength-Index-(RSI),-Simple-and-Exponential-Moving-Averages,-and-the-Moving-Average-Convergence-Divergence-(MACD).

Language: JavaScript - Size: 786 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ArunabhaPani/kaggle_house_price_prediction_advanced_regression_ml_model

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

tavsszn/Algorithmic-Trading-Bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

Language: JavaScript - Size: 813 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

harishkumaarhk/Algorithmic-Trading-Bot

The-project-aims-to-evaluate-the-predictive-performance-of-different-machine-learning-(ML)-algorithms-for-Bitcoin-trading.-The-proposed-trading-strategy-integrates-key-technical-indicators,-including-the-Relative-Strength-Index-(RSI),-Simple-and-Exponential-Moving-Averages,-and-the-Moving-Average-Convergence-Divergence-(MACD).

Size: 2.93 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mohamed51152/Algorithmic-Trading-Bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

Size: 2.93 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ANGEL12221/Algorithmic-Trading-Bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

Size: 2.93 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

timowilm1992/MultiLGBM

🌳MultiLGBM🌳: A simple multi-objective regression example to show how to trade-off objectives on the Pareto front with a single LGBM model.

Language: Python - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0

jeongukjae/lightgbm-serving

A lightweight server for LightGBM

Language: C++ - Size: 780 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 7

AdrianAntico/AutoQuant

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

Language: R - Size: 804 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 243 - Forks: 43

saivasanthg/NLP-based-Disaster-Detection-in-Tweets-using-ML-Algorithms

This project focuses on detecting disaster-related tweets using machine learning. The dataset, sourced from Kaggle, contains 7613 tweets labeled as disaster-related or not. Various Natural Language Processing (NLP) techniques and machine learning models were applied to classify these tweets accurately.

Language: Jupyter Notebook - Size: 466 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0