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gradient-boosting-classifier · GitHub Topics · GitHub

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gradient-boosting-classifier

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This project detects whether a news is fake or not using machine learning.

  • Updated Mar 1, 2025
  • Jupyter Notebook

Using various machine learning models to predict whether a company will go bankrupt

  • Updated Oct 28, 2022
  • Jupyter Notebook

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

  • Updated Dec 5, 2019
  • Jupyter Notebook

Pose estimation and prediction using Mediapipe and various ML models

  • Updated Aug 6, 2023
  • Jupyter Notebook

In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)

  • Updated May 11, 2019
  • Jupyter Notebook

This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.

  • Updated Nov 14, 2023
  • HTML

A package to build Gradient boosted trees for ordinal labels

  • Updated Mar 31, 2025
  • Jupyter Notebook

FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference

  • Updated Dec 13, 2023
  • Python

This project is our submission for the Kavach Hackathon 2023, in which we have created a browser extension that detects the links present in the email and classifies whether they are safe or not.

  • Updated Apr 13, 2023
  • Jupyter Notebook

Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day

  • Updated Sep 25, 2023
  • R

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

  • Updated Oct 31, 2019
  • Jupyter Notebook

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