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xgboost-model

Here are 193 public repositories matching this topic...

COVID-19 Vulnerability Index

  • UpdatedDec 27, 2022
  • Python

:octocat: Detection and Prediction of Air quality Index:octocat:

  • UpdatedJan 18, 2021
  • Jupyter Notebook

this is my repository for the quick draw prediction model project

  • UpdatedNov 22, 2017
  • Python

LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data

  • UpdatedDec 20, 2023
  • Jupyter Notebook

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

  • UpdatedAug 3, 2021
  • Jupyter Notebook

Web application for earthquake prediction in a window of few future days. live data collection fromhttps://earthquake.usgs.gov/

  • UpdatedAug 31, 2020
  • HTML

this is my repository for Amazon review helpfulness prediction model

  • UpdatedSep 14, 2017
  • Jupyter Notebook

My solution for Quora's Question Pair contest on Kaggle.

  • UpdatedJul 11, 2017
  • Jupyter Notebook

This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.

  • UpdatedFeb 12, 2021
  • Jupyter Notebook
Max-Qproject_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. Thi…

  • UpdatedDec 5, 2022
  • Jupyter Notebook

World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases.

  • UpdatedSep 28, 2021
  • Jupyter Notebook
Advanced-Time-series-analysis

Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.

  • UpdatedFeb 23, 2021
  • Jupyter Notebook

Classifying audio files using ML algorithms.

  • UpdatedJan 8, 2022
  • Jupyter Notebook

By using feature engineering technique and XGBoost algorithm to predict house price

  • UpdatedApr 8, 2020
  • Jupyter Notebook

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…

  • UpdatedSep 21, 2018
  • Jupyter Notebook

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