9th place solution in "Santa 2020 - The Candy Cane Contest"
-
Updated
Feb 23, 2021 - Python
#
lightgbm-regressor
Here are 58 public repositories matching this topic...
-
Updated
Oct 13, 2020 - Jupyter Notebook
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
-
Updated
Jul 26, 2024 - Python
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
-
Updated
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
-
Updated
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
-
Updated
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
-
Updated
Feb 11, 2021 - 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.
-
Updated
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
-
Updated
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
-
Updated
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
-
Updated
Oct 15, 2020 - Jupyter Notebook
Projeto de previsões de pontos de chegada em corridas de táxi na cidade do Porto, Portugal.
-
Updated
Dec 15, 2023 - Jupyter Notebook
Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning
-
Updated
Jan 8, 2023 - Jupyter Notebook
Silver medal solution for the "M5 Forecasting - Accuracy" Kaggle competition
-
Updated
Apr 26, 2021 - Python
Analysis of time series data from IoT devices
-
Updated
Jul 16, 2022 - Jupyter Notebook
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
-
Updated
Feb 5, 2022 - Jupyter Notebook
This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell
numpy scikit-learn pandas seaborn xgboost scipy gpu-acceleration matplotlib sparse-matrix keras-tensorflow mlp-regressor catboost ensemble-machine-learning lightgbm-regressor
-
Updated
Jun 1, 2024 - Jupyter Notebook
This repository contains my solution for the Kaggle competition Automated Essay Scoring 2.0. The goal of this project is to develop an automated system capable of scoring essays based on their content and quality using machine learning techniques.
-
Updated
Jul 7, 2024 - Jupyter Notebook
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
data-science machine-learning linear-regression data-analysis data-preprocessing feature-engineering predictive-modeling lasso-regression random-forest-regressor support-vector-regression decision-tree-regression xgboost-regression baseball-analytics salary-prediction gradient-boosting-regression lightgbm-regressor elasticnet-regression catboost-regressor knearest-neighbour-regression
-
Updated
Jun 9, 2024 - Python
Examples using LightGBM for several ML tasks
microsoft python machine-learning algorithms artificial-intelligence lightgbm deeplearning lightgbm-regressor lightgbm-classifier
-
Updated
May 18, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the lightgbm-regressor topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lightgbm-regressor topic, visit your repo's landing page and select "manage topics."