Ad-Click through prediction

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

ctr Install Examples for Stylus

This project implements an intelligent ad recommendation system using Deep Q-Learning (DQN), a powerful reinforcement learning algorithm.

Deep Learning course project: CTR Prediction

Optical character recognition performed on the video game Crash Team Racing Nitro-Fueled for game results

Data-driven analysis to boost email engagement using decision trees, conditional probabilities, and visualizations. Improve open rates and CTR with actionable insights.

A digital logic simulator for the 3DS

POC for google CTR Prediction

Mobile Advertisement Click-Through Rate (CTR) Analysis 📊 | This project explores CTR data to optimize ad performance using EDA & Machine Learning. It analyzes ad placement, site/app details, and device type to predict user clicks. XGBoost & Gradient Boosting achieved the best results. 🚀

Homebrew scripts for Nintendo® 3DS™

An implementation of a substitution-permutation-network and a randomized counter CTR

ctr Install Examples for Less

it's a series paper implements code, especially for ctr.

2026 UCLA MDSH Submit Team#6 Microsoft - MIND NewsRec

CTR 5.1 || MT6735

Recommendation system implementation

This project aims to generate insights from the sample datasets which are provided.The interest is mainly about gaining insights regarding click-out distribution and click-through rates (CTR).

Tkinter GUI to calculate key SEO & social metrics—CTR, clicks, impressions, CVR, avg. conversion value, ROAS, reach, and engagement—with tabbed UI and copy-to-clipboar