Popular GitHub Repositories for Xgboost Classifier

Supervised ML- Built a Multi-Class classification model to find the relation between features of a mobile phone(RAM, Internal Memory etc) and its selling price. Model will predict the price range indicating how high the price is.

Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.

Adamas AI is your smart companion for diamond valuation and knowledge. Using advanced machine learning, we provide accurate price predictions and expert advice.

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

AI-powered Instagram bot for precise gender targeting using XGBoost and OpenAI ADA, with 91% accuracy at just $0.001 per 1000 queries. Automates follows/unfollows from user lists or photo likes, and checks follow-backs with randomized human-like actions. Ideal for influencers and marketers aiming for targeted engagement.

Predicting Food Truck Locations Using Snowpark ML and XGBoost

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.

Modelling and prediction of default + deployment via AWS Sagemaker

Midterm project for mlzoomcamp 2024

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Prediction of Loan Approval using the AutoML tool H2O

Client Classification For Bank Marketing XGBoost

Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.

Solution for SemEval-2025 Task 9: The Food Hazard Detection Challenge. Utilized machine learning, fine-tuned LLMs (GPT-2, LLaMA, Flan-T5-XL), and ensemble learning to classify food hazards and detect specific products and hazards from unstructured text.

A simple machine learning based project to predict win and lose probability upcoming game in the NBA games based on APIs from NBA.com

Bank Customer Churn Prediction with MLflow and MLOps

In this problem i have used multiple Machine Learning models and and also done hyperparameter tuning for prediction.

Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik

Source code for OpenClassrooms - Data Scientist Project 7 - Implement a Scoring Model