Ad Targeting
Project Description
Throughout this project, you will work with advertising data from a marketing agency to predict whether a user will click on an advertisement. In the current digital age, online advertising is a major driver of revenue for businesses, but understanding user engagement with ads remains a challenge.
This project is particularly relevant in the context of digital marketing, where companies aim to optimize their ad strategies to increase engagement and conversion rates. By applying data science techniques, we can uncover patterns in user behavior that help marketers make data-driven decisions.
Dataset
This project will leverage the Effective Targeting of Advertisements dataset from Kaggle.
Relevant Skills You May Apply
Intermediate Python skills and Machine Learning Knowledge
Skills You May Gain
Exploratory Data Analysis, Data Visualization, Data Cleaning and Preprocessing, Predictive Modeling, Model Evaluation
Total Time
Approximately 10 hours (1 to 2 weeks)
Milestones
Milestone 1: Data Loading and Preprocessing
Milestone 2: Exploratory Data Analysis (EDA)
Milestone 3: Predictive Modeling & Evaluation
Deliverables
Deliverables include a project report highlighting new skills gained and an interactive Python notebook (Jupyter/Google Colab).