Business and Economics
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
During your recent visit to the supermarket, you may have noticed a correlation between the items in your shopping basket, such as spaghetti and tomatoes or ham and pineapple. Both online and offline retailers leverage data from millions of customer transactions to analyze these associations and gain valuable insights using association rules. In this course, you will learn how to employ market basket analysis to quantify the degree of association between items and uncover hidden connections. By visualizing relevant and insightful rules, you will be able to extract meaningful information from the data. To apply your newfound knowledge, you will work with a movie dataset and predict which movies are commonly watched together. This will enable you to create personalized movie recommendations for users, enhancing their movie-watching experience.
by DataCamp
Explore association rules in market basket analysis with R by analyzing retail data and creating mov...
by DataCamp
Explore association rules in market basket analysis with Python by bookstore data and creating movie...
by DataCamp
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll...
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Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-...
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Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and d...
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In this case study, you’ll use visualization techniques to find out what skills are most in-demand f...
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Learn to build simple models of market response to increase the effectiveness of your marketing plan...
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Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
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Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how t...
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Learn basic business modeling including cash flows, investments, annuities, loan amortization, and m...