-
Updated
Mar 4, 2021 - Jupyter Notebook
xgboost-algorithm
Here are 393 public repositories matching this topic...
Data analysis, visualization, classification
-
Updated
Jul 18, 2020 - Jupyter Notebook
A Machine Learning project
-
Updated
Oct 7, 2020 - Jupyter Notebook
This project uses data from Olist - a Brazilian e-commerce platform to predict customer's review scores. The full Python code is presented in 3 steps: data preprocessing, EDA & modeling, followed by a Tableau Dashboard on customer ratings.
-
Updated
Apr 18, 2022 - Jupyter Notebook
Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. This is the reason why flight prices are quiet unpredictable. Data consisting of several details and prices of flight tickets for various airlines between the months of March and June of …
-
Updated
Nov 3, 2020
machine learning (logistic regression and other algorithm )
-
Updated
Apr 22, 2021 - Jupyter Notebook
Data Science and Machine Learning using Python and R
-
Updated
Jan 18, 2022 - Jupyter Notebook
This is a prediction of the duration of taxi trips in new york. The main work is based on the dataset adding a weather datasaet and many other features (rush hours, weekend days, speed, etc...). You can check my medium publication where I explain all the work done. MEDIUM: https://medium.com/cuny-csi-mth513/new-york-city-taxi-trip-duration-predi…
-
Updated
Jun 30, 2023 - Jupyter Notebook
AI
-
Updated
Jun 9, 2023 - Python
This project focuses on predicting house prices in Miami using regression techniques. By exploring and analyzing the data, performing feature selection and scaling, trying out different models, and tuning hyperparameters, we aim to develop an accurate model for predicting house prices.
-
Updated
Jun 27, 2023 - Jupyter Notebook
Machine learning project for cardiovascular risk prediction. The goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD)
-
Updated
Aug 14, 2023 - Jupyter Notebook
Diabetes Health Indicator Dataset analysis with R
-
Updated
Sep 27, 2023 - HTML
Using Supervised Learning Classification techniques to predict Permanent Residency application outcome
-
Updated
Jun 14, 2019 - Jupyter Notebook
Predicting Credibility using Gradient Boosting - Comparison Simple Tree, Random Forest and Boosted Trees (ML Course SS18)
-
Updated
Feb 5, 2020 - R
-
Updated
Dec 14, 2020 - Python
This repo contains Stroke risk prediction project.
-
Updated
Aug 7, 2021 - Jupyter Notebook
HR - Analytics machine learning project which predicts whether a person is looking for a job change or will work for a company
-
Updated
Jul 30, 2021 - Jupyter Notebook
Multiclass classification task for imbalanced dataset using Random Forest, K-Nearest Neighbors, Support Vector Machines, XGBoost and CNN models.
-
Updated
Sep 19, 2021 - Jupyter Notebook
Config files for my GitHub profile.
-
Updated
Mar 30, 2022 - Jupyter Notebook
This project focuses on investigating the correlation between air quality and weather and building a prediction model based on the results of the exploratory analysis of historical climatic data of a particular region (for our project we chose Bangalore, India). This project aims to predict the air quality band for PM2.5 using present and histor…
-
Updated
May 1, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the xgboost-algorithm topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the xgboost-algorithm topic, visit your repo's landing page and select "manage topics."