9th place solution in "Santa 2020 - The Candy Cane Contest"
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Feb 23, 2021 - Python
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lightgbm-regressor
Here are 63 public repositories matching this topic...
Crypto & Stock* price prediction with regression models.
ai neural-network bitcoin lstm xgboost lstm-model lightgbm prophet lstm-neural-networks price-prediction xgboost-regression lgbm lightgbm-regressor catboostregressor
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Jul 26, 2024 - Python
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Oct 13, 2020 - Jupyter Notebook
This repository will work around solving the problem of food demand forecasting using machine learning.
machine-learning jupyter-notebook demand-forecasting xgboost-regression forecasting-model decisiontreeregressor lightgbm-regressor catboostregressor food-demand-forecasting
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Sep 26, 2020 - Jupyter Notebook
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
linear-regression ridge-regression principal-component-analysis elasticnet lasso-regression xgboost-algorithm gridsearchcv random-forest-regression sklearn-library gradient-boosting-regressor sklearn-pipeline lightgbm-regressor
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Sep 1, 2022 - Jupyter Notebook
Amazon SageMaker Examples
python docker aws machine-learning amazon examples machine-learning-algorithms lightgbm notebooks catboost sagemaker amazon-sagemaker notebook-jupyter lightgbm-regressor catboost-algorithm eitans-sagemaker
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Aug 27, 2023 - Jupyter Notebook
competition machine-learning natural-language-processing deep-learning machine-learning-algorithms regression kaggle classification hackerearth competitions cnn-keras lightgbm-regressor lightgbm-classifier dockship
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Feb 11, 2021 - Jupyter Notebook
Notebooks for Kaggle competition
data-science machine-learning custom-metrics data-processing regression-models data-cleaning optuna k-fold-cross-validation lightgbm-regressor xgboost-regressor catboost-regressor
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Jan 25, 2025 - Jupyter Notebook
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.
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Jul 21, 2023 - Jupyter Notebook
In this section, we will use machine learning algorithms to perform time series analysis.
time-series machine-learning-algorithms forecasting lightgbm time-series-analysis time-series-forecast time-series-prediction time-series-forecasting time-series-data trading-volume forecasting-time-series lightgbm-regressor total-trading-volume-forecasting
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Apr 28, 2023 - Jupyter Notebook
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.
python linear-regression exploratory-data-analysis machine-learning-algorithms ridge-regression grid-search lasso-regression automobile random-forest-regression adaboost-algorithm lightgbm-regressor
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Jun 6, 2020 - Jupyter Notebook
A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.
python exploratory-data-analysis regression elo feature-selection kaggle-competition discounts machinelearning feature-engineering regression-models promotions random-forest-regressor customer-loyalty lightgbm-regressor lgbm-goss predicting-loyalty-scores
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Oct 15, 2020 - Jupyter Notebook
Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning
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Jan 8, 2023 - Jupyter Notebook
Analysis of time series data from IoT devices
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Jul 16, 2022 - Jupyter Notebook
Projeto de previsões de pontos de chegada em corridas de táxi na cidade do Porto, Portugal.
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Dec 15, 2023 - Jupyter Notebook
Silver medal solution for the "M5 Forecasting - Accuracy" Kaggle competition
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Apr 26, 2021 - Python
Predict stock returns using ARIMA and LightGBM to analyze historical data and uncover key drivers with feature importance in this financial forecasting project.
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Apr 19, 2024 - HTML
This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.
xgboost lightgbm xgboost-algorithm catboost machinelearningalgorithms xgboost-classifier r2score rmse-score lightgbm-regressor lightgbm-classifier catboostregressor datavisualization-project catboost-classifier housepriceprediction dataanlaytics
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Jan 16, 2025 - Jupyter Notebook
Test using LightGBM and FastTree models with GPU acceleration in C#/.NET via ML.NET.
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Feb 5, 2025 - C#
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.
python data-science machine-learning ai random-forest scikit-learn jupyter-notebook regression prediction artificial-intelligence xgboost lightgbm machinelearning ju random-forest-regression xgboost-regression lightgbm-regressor
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Feb 5, 2022 - Jupyter Notebook
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