lightgbm-regressor
There are 0 repository under lightgbm-regressor topic.
toshi-k / kaggle-santa-2020
9th place solution in "Santa 2020 - The Candy Cane Contest"
Language:Python 23- Language:Jupyter Notebook 13
Erdos1729 / food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
Language:Jupyter Notebook 7- Language:Jupyter Notebook 5
eitansela / eitans-sagemaker-examples
Amazon SageMaker Examples
Language:Jupyter Notebook 4nipun-goyal / Residential-Energy-Consumption-Prediction
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
Language:Jupyter Notebook 3Pratik94229 / Retail-Sales-Prediction---End-to-End-Project
This repository contains code and resources for an end-to-end regression project on retail sales prediction. The goal of this project is to develop a regression model that can accurately predict retail sales based on various features.
Language:Jupyter Notebook 3Aishwaryakkumar / Automobile
Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.
Language:Jupyter Notebook 2kyaiooiayk / LightGBM-Notes
Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning
Language:Jupyter Notebook 2tohid-yousefi / Machine_Learning_Algorithms_for_Time_Series_Analysis_Total_Trading_Volume_Forecasting
In this section, we will use machine learning algorithms to perform time series analysis.
Language:Jupyter Notebook 2- Language:Jupyter Notebook 1
bagusganjarl / used-car-auction-prices
A final project of Data Science Bootcamp Batch 20 in Rakamin Academy.
Language:Jupyter Notebook 1caiocasagrande / taxi
Projeto de previsões de pontos de chegada em corridas de táxi na cidade do Porto, Portugal.
Language:Jupyter Notebook 1deleusis / Data-Science-Gradient-Boosting
Using LightGBM and Other Models for Car Prices' Prediction – Study Project for Yandex Practicum
Language:Jupyter Notebook 1Denis-Mukhanov / forecast-of-taxi-orders
Yandex Practicum Data Science project
Language:Jupyter Notebook 1dfavenfre / Bike-Sharing-Demand-Prediction
Bike Rent Demand Prediction Model
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
- IoT_timeseries_analysis
opsabarsec / IoT_timeseries_analysis
Analysis of time series data from IoT devices
Language:Jupyter Notebook 1 Rjt5412 / Elo-Merchant-Category-Recommendation
A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.
Language:Jupyter Notebook 1SerhatDerya / House-Prices---Advanced-Regression-Techniques
This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.
Language:Jupyter Notebook 1stephenllh / m5-accuracy
Silver medal solution for the "M5 Forecasting - Accuracy" Kaggle competition
Language:Python 1adkwn1 / numerical_methods
Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.
Language:Jupyter Notebook 0Study project for Yandex Practicum
Language:Jupyter Notebook 0dimdasci / car-price-prediction-demo
Demo project of EDA and regression task solution: Pandas, Jupyter Notebook, Scikit-learn, LightGBM
Language:Jupyter Notebook 0hariprasath-v / AV-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
Language:HTML 0jiatangzhi / r_stock_market_prediction
Predict stock returns using ARIMA and LightGBM to analyze historical data and uncover key drivers with feature importance in this financial forecasting project.
Language:HTML 0ManafMukred / Time_Series_forcasting_and_Anomaly_Detection
This project aims to predict Wind Turbine output power and searches for any anomalies
Language:Jupyter Notebook 0nkoda / Work-Sample_Data-Engineer
This data pipeline project focuses on ingesting and processing raw stock market data, performing feature engineering on top of the processed data, training a predictive model, and building an API service to serve the trained model.
Language:Python 0PraveenObulreddy / USA-Housing-Price-Prediction
In this project I have implemented 15 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
Language:Jupyter Notebook 0RafaRomanS / Green-Light-proyecto-
Este fue el proyecto final del Bootcamp de Data Science y Machine & Deep Learning, fue desarrollado junto con mi compañero Pablo Pita. Este proyecto trata de predecir el consumo y la produccion de clientes con placas solares, en el enlace podréis ver la presentación que realizamos
aprendizaje-automaticoaprendizaje-no-supervisadoaprendizaje-supervisadociencia-de-dadosdata-sciencedata-science-portfoliodata-science-projectsdata-scientistdata-visualizationlightgbm-regressormachine-learningprediction-modelpythonregressor-modelssupervised-learningunsupervised-learningvisualizacion-de-datosLanguage:Jupyter Notebook 0siminliao / Predict-MLB-Attendance-MinneMUDAC-2023
Build predictive models for the game-by-game attendance all MLB teams 2023 season. The 1st place solution at MinneMUDAC 2023 Data Science Challenge.
Language:Jupyter Notebook 0tieukhoimai / ml-airq4cast
The second runner-up project of Greenovator Hackathon 2021 organized by Bosch Vietnam and Quang Trung Software City (QTSC)
Language:Jupyter Notebook 0Yoojin730 / DataModeling_forRightofMobility
2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>
Language:Jupyter Notebook 0nlawira / india-house-rent-prediction
This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.
Language:Jupyter Notebooksokolgood / cars_price_prediction
This represents the car's price predictor based on LightGBM + Optuna. The final goal is to use it to predict my father's car price.
Language:Jupyter Notebook- Language:Python
