timothyblack Goto Github PK

ad-click-throug-rate-prediction

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. This repo uses 11 days data to predict next days' click trough rate for each ad.

ad-reading

computational advertising reading list (计算广告阅读）

adctr

Advertising CTR Prediction using DeepFM

allaboutscala

Source code for www.allaboutscala.com tutorials

amazon-product-advertising-api-url-builder

Build Amazon Product Advertising API request URLs without having to read the documentation or study the used hashing algorithms.

architect-awesome

后端架构师技术图谱

artificial-intelligence-adclickprediction-

Predict whether a mobile ad will be clicked In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.

avazu-ctr-prediction

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.

avazu-ctr-prediction-1

Implementation of Classification techniques from scratch on a given AVAZU(Leading Advertising Platform) dataset to predict whether the popped ad on a user screen will be clicked or not.

awesome-java-books

Java开发者技术书籍大全 - Java入门书籍，Java基础及进阶书籍，框架与中间件，架构设计，设计模式，数学与算法，JVM周边语言，项目管理&领导力&流程，职业素养与个人成长，格局与视野，面试参考书等。

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bigdata-books

bistu_tencent_pcvr

2017 Tencent advertising click through rate (CTR) forecast match. FTRL

click-through-rate

Predict whether a mobile ad will be clicked. In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance.

clickthrough-rate

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.

computational-advertising

Computational Advertising CTR

computational-advertising-2015

南京大学《计算传播与广告》课程

coursera

DS Specialization

credit-risk-analysis

credit-score-ai-models

credit-scoring-demo

Build and Deploy Credit Scoring for Loans on rorodata platform

creditscoring

Petit example of credit scoring analysis

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

ctr-analysis

Analyzing drivers of click-through-rate (CTR) for location-based marketing agency. The report provides insights and recommendations to target the right audience based on location and maximize the revenue from advertising.

ctr-analysis-1

This project broadly deals with location-based mobile marketing, using data from a location-based marketing agency which handles geo-fencing campaigns on behalf of advertisers. I choose to use a random sample for two campaigns of a single advertiser – AMC Theaters. The advertising impressions are inserted into the mobile app being used on the device. The data include the following elements: impression size (e.g., 320x50 pixels), app category (e.g., IAB1), app review volume and valence, device OS (e.g., iOS), geo-fence lat/long coordinates, mobile device lat/long coordinates, and click outcome (0 or 1).

ctr-modelling-in-advertising

ctr-prediction

Click-through rate (CTR) is a very important metric for evaluating ad performance in online advertising. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. In our dataset, we have provided 11 days’ worth of Avazu data to build and test prediction models.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

display-advertising-challenge

Criteo/Kaggle Competition of CTR prediction