GitHub topics: xgboost-regression
somjit101/Netflix-Movie-Recommendation
A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.
Language: Jupyter Notebook - Size: 9.07 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

nidragedd/udadsnd-p4-airbnb_inside
Udacity DataScience nanodegree 4th project: pick a dataset, explore it and write a blog post
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 20 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

kyaiooiayk/XGBoost-notes
Notes, tutorials, code snippets and templates focused on XGBoost for Machine Learning
Language: Jupyter Notebook - Size: 887 KB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

kaledhoshme123/A-proposed-model-that-can-predict-the-assessment-of-both-Syntax-Cohesion-Vocabulary-Phraseology-
The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue. It includes several steps through which a few errors were reached, all ranging between 0.25 for each criterion. The values of the weights that were reached can also be used to deal with the issue as a classification process (but it was not dealt with as well in this proposed methodology).
Language: Jupyter Notebook - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Bayunova28/Moderna_Vaccine_Stock
This repository contains about group final exam of machine learning course at my college
Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

anup-anny/Bike-Sharing-Demand-Prediction
Supervised Learning Project (Regression)
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DeleLinus/Supermarket-Sales-Prediction
This is a reviewed notebook to the DSN AI+ OAU July 2020 challenge where I took the first position. The project demonstrate proper Exploratory Data Analysis, categorical data handling, Data visualization, feature selection and engineering, Model selection and hyperparameter tuning of various regression algorithms.
Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

swarnava-96/Time-Series
Time Series Analysis and Forecasting with Python.
Language: HTML - Size: 6.43 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

andres-pb/Housing_Price_Prediction
This repository contains a housing price prediction exercise.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

starkjones/House-Prices-Advanced-RegressionKaggle-Exercise
Predicting housing prices using feature engineering and XGBoost and Sequential Modeling Models
Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

SF-Noorullah/Machine-Learning-with-XGBoost-and-RandomForest
Building Machine Learning Models with hyperparameter tuning by training a dataset containing more than a million rows to accurately predict the taxi trip duration in New york city
Language: Jupyter Notebook - Size: 19.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

izelcelikkaya/housepriceprediction
This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.
Language: Python - Size: 9.84 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 10

jeandsantos/predict_water_turbidity
Predict the quantity of turbidity, the level of product traces or suspended solids in the effluent, that will be returned in last rinsing phase during the cleaning of food and beverage industrial equipment
Size: 19.5 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

apoorvaKR12695/Bike-Sharing-Demand-Prediction-
ML Supervised- Developed a regression model using algorithms such as Random Forest and XGBoost to predict the hourly demand of bikes.Performed hyperparameter tuning techniques and achieved R2 score of 92% using XGBoost model and reduced the public waiting time significantly.
Language: Jupyter Notebook - Size: 792 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

dsrodrigovieira/rossmannsales
Este repositório contém um projeto desenvolvido para praticar análise de dados e aplicação de modelos de regressão (aprendizagem supervisionada)
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

dsrodrigovieira/favoritasales
Este repositório contém o projeto desenvolvido para o desafio do kaggle "Store Sales - Time Series Forecasting. Use machine learning to predict grocery sales"
Language: Jupyter Notebook - Size: 5.7 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

alibagheri7/R_Portfolio
Portfolio of R projects
Language: HTML - Size: 2.18 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

xiaorancs/chicken-sales-forecast
回归预测
Language: Python - Size: 284 KB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

WithDD97/Food-Demand-Forcasting
Predict the number of orders for the next Week in a restaurant.
Language: Jupyter Notebook - Size: 8.29 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

dtararuj/stores-sales-foreacast
food retail shops forecast
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-app-runner
How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.
Language: Jupyter Notebook - Size: 937 KB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

gabriel-solon-padilha/predicao_precoscasas_House_Prices_regression
Sétimo mini projeto de data science em que pude usar diversos modelos de regressão para prever o preço das casas a partir de um conjunto diversificado de features
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

joaosoutto95/rossmann_ml
The objective of the project is to discover business insights based on public market data and use the findings in order to choose and train a prediction model. In this case, the sector evaluated is drug store, in which the company seeks to predict the turnover in the next 6 weeks. It is expected as a final product, a report with the performance of each store based on the prediction, and the performance of the machine learning model tuned.
Language: Jupyter Notebook - Size: 9.01 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mtx13/MeAndFitbit
Exploratory analysis of personal Fitbit data
Language: Jupyter Notebook - Size: 539 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

SerhatDerya/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 - Size: 50.8 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

MitchellTesla/Max-Q Fork of arXiv-research/Quatm
Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing
Language: C++ - Size: 155 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

imane-ayouni/Weather-Forecast
Regression algorithms to predict the minimum temperature
Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

bdiptesh/CodeLib
Development of new ML library
Language: Python - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

imane-ayouni/California-Housing-Price-Predictions
Regression algorithms to predict the median house prices in California districts
Language: Jupyter Notebook - Size: 4.51 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

hariprasath-v/HackerEarth--cipla-data-scientist-hiring-challenge
This machine learning challenge is about predicting the loan sanction amount from the customer's basic account transaction details and requested loan amount.
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

11dome11/Car-Price-Prediction
Predict car prices using several regression algorithms optimized through cross-validation
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kalsam123/Boston-House-price-prediction-using-regression
A machine learning web app for Boston house price prediction.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

john-d-noble/john-d-noble
Config files for my GitHub profile.
Language: Jupyter Notebook - Size: 33.8 MB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

copev313/30-Days-Of-ML-Competition
Some code written for Kaggle's 30 Days of Machine Learning [August 2021].
Language: Jupyter Notebook - Size: 67.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

izzypatrick21/bigmart-sales-forecast
Forecasting BigMart Sales. Data gotten from Kaggle -https://www.kaggle.com/brijbhushannanda1979/bigmart-sales-data
Language: Jupyter Notebook - Size: 579 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mustafahakkoz/Bus_Utilization_Forecasting
Predict hourly bus utilization of municipalities. An advanced feature engineering on a time-series data with baseline model and comparison to sequential models.
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

swarnava-96/Men-s-T20-Cricket-Runs-Predictor
A streamlit web app that predicts the first innings runs scored by a team taking the runs of the first five overs as input.
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

sonu275981/Calories-burned-prediction
Calories burned prediction using machine learning
Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

prankur16shukla/Air_Quality_Index_Prediction
In this Regression project we extracted the data related to Air Quality Index from a Website. We have pre-processed the extracted data and made predictions on the AQI based on other factors. We have solved this problem by different algorithms along with Hyper Parameter Tuning.
Language: Jupyter Notebook - Size: 5.68 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Rnoozy/Guessing-Prices-Pizza
Guessing the prices of pizza, this Machine Learning model using Linear Regression, and this project inspired by YouTube channel indonesia_belajar
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

hassangaber/KaggleHousingPrices
Predicting House Prices Using Regression
Language: Jupyter Notebook - Size: 309 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

MuhamedAhmed11/Regression-Capstone
Building different regression models on Concrete Data to get best Concrete Compressive Strength
Language: Jupyter Notebook - Size: 184 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

jirvingphd/predicting-the-SP500-using-trumps-tweets_capstone-project Fork of learn-co-students/dsc-5-capstone-project-online-ds-ft-021119
Forecasting S&P500 Price with Natural Language Processing (NLP) of Trump’s Tweets using Neural Networks.
Language: Jupyter Notebook - Size: 853 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 3

Soung-Low/films-box-office-prediction
Prediction of Films' Box Office based on film metadata and sentiment of film abstract
Language: Jupyter Notebook - Size: 42 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

EdoardoGruppi/IoT_Assignment
This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techniques are exploited.
Language: Jupyter Notebook - Size: 684 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Rahulraj31/Power-Plant-Energy-Prediction-AI-Challenge
Dockship.io hosted a practice challenge named Power Plant Energy Prediction AI Challenge
Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

SamuelSousaFerreira/Previsao-de-Precos-no-Mercado-Imobiliario
Previsão dos preços dos imóveis em Ihoa, USA com 4 modelos de regresão, feature engineering com SelectBest.
Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Abdulrahman-Adel/DengAI
Predicting Disease Spread
Language: Jupyter Notebook - Size: 358 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

likithponnanna/Boston-Housing-DataSet-Predictor
This repository contains Building, Training, Saving and deployment code for the model built on Boston Housing Dataset to predict Median Value of owner-specified homes in $1000s (MEDV).
Language: Jupyter Notebook - Size: 285 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Neeleshweb/House-Selling-Price-Prediction-using-various-models
In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/leaderboard
Language: Jupyter Notebook - Size: 6.92 MB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

t-shikuro/Bulldozer-Blue-Book-Prediction
The goal of this machine learning contest is to predict the sale price of a particular piece of heavy equipment at auction based on it's usage, equipment type, and configuration.
Language: HTML - Size: 6.75 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jasoriya/Mercari-Price-Suggestion-Challenge
Kaggle Competition
Language: Jupyter Notebook - Size: 6.14 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

jillm5/Supervised-ML
Examples of Supervised ML
Language: Jupyter Notebook - Size: 125 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
