Generate frequent itemsets and association rules for a recommender system.
Apply cosine similarities in user-based and item-based collaborative filtering to build a movie recommendation system.
Analyzed the Ad Effectiveness and Carryover Effect of marketing channels, proposed marketing resources allocation to maximize advertising efficiency
Use conjoint analysis to determine the reaction of the market to a new TV design.
Developed a new discount strategy for the company’s four main products to improve the expected revenue.
Designed and analyzed the A/B testing experiment of Udacity's new Free Trial Screener feature
Analyzed the impact of the placement of in-app purchase ad on player retention
Spot trends in the types of questions asked in the game show
Find out the most popular words used by AI startups in their names using text mining
Build a model to study the nature of volatility in the case of US government bond yields
Calculating the Sharpe Ratio for the stocks of Facebook and Amazon
Analyzed the co-occurrence of the characters in the Game of Thrones
Explore Simpon’s paradox using multiple regression and other statistical tools
A Simple Print Date Pipeline
Prepared an informative database to help find important song features leveraging open source web APIs and information scraped from online
Implemented a word counting workflow on GCP Dataflow with Python.
Get the most common venue categories in each neighborhood in San Francisco and visualize the neighborhoods and their emerging clusters
The course covers concepts of Airflow and the implementation of data engineering workflows in production
Ingesting data with Singer, Creating data pipelines with PySpark, Testing Data Pipeline, Managing and orchestrating a workflow
Perform Market Basket Analysis using the Apriori algorithm, standard and custom metrics, association rules, aggregation and pruning, and visualization