Machine Learning Private Kaggle Challenge.
Welcome to the ShopSmart Purchase Prediction Challenge, where you’ll step into the shoes of ShopSmart's data science team! As part of the data science division, your job is to build predictive models to help ShopSmart, a leading e-commerce platform, optimize customer engagement and boost sales.
ShopSmart wants to better understand user behavior to predict which users are likely to complete a purchase based on various interactions. With this knowledge, the company can take action to improve conversion rates, personalize marketing campaigns, and increase overall sales.
As a data scientist at ShopSmart, you will develop and fine-tune a machine learning model that predicts whether a customer will make a purchase. Your predictions will be based on rich behavioral data collected from the platform, and your model will play a key role in the company's success.
At ShopSmart, converting user activity into sales is critical. While some users interact with multiple products, read reviews, and engage with the platform, not all of them complete a purchase. Understanding which customers are likely to convert into buyers would allow ShopSmart to:
Increase conversion rates by targeting likely purchasers with personalized offers. Enhance marketing campaigns by delivering well-timed nudges to users who are close to making a purchase. Optimize the user experience to make the purchasing journey as seamless as possible.
As a ShopSmart data scientist, your mission is to leverage the available data to predict customer purchase behavior and provide actionable insights for the business.
We did feature selection and engineering, testing different solutions against a benchmark. Then we optimized many different models and evaluated best model. We also built a pipeline for all feature selection and engineering.
Outlines the process and decision making as well as model evaluation results.