A curated list of gradient boosting research papers with implementations.
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Updated
Mar 16, 2024 - Python
A curated list of gradient boosting research papers with implementations.
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
Tuning hyperparams fast with Hyperband
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
In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)
Ruby Scoring API for PMML
Recognition of Persomnality Types from Facebook status using Machine Learning
Using various machine learning models to predict whether a company will go bankrupt
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
This repo contains step by step procedure to predict whether an employee is promoted or not. Based on the Practice competition on AnalyticsVidhya
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.
This project detects whether a news is fake or not using machine learning.
This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
Customer Churn Prediction using Machine Learning
Data Science Challenge
This jupyter notebook has various ML classification models to detected a mail as spam or not
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidate…
In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.
Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
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