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Video Game Sales Prediction using Machine Learning

Video Game Sales Prediction using Machine Learning

Rp 1299

Rp 4999

Video game sales prediction using machine learning is the process of using algorithms and statistical models to forecast the sales of video games.

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Has discount
Expiry period	Lifetime
Made in	English
Last updated at	Fri Apr 2023
Level	Intermediate
Total lectures	6
Total quizzes	0
Total duration	01:04:50 Hours
Total enrolment	4
Number of reviews	0
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Short description	Video game sales prediction using machine learning is the process of using algorithms and statistical models to forecast the sales of video games.
Outcomes	One of the primary outcomes of using machine learning for video game sales prediction is the ability to make accurate sales forecasts. By analyzing historical data and identifying patterns and trends, machine learning models can predict sales for upcoming games with a high degree of accuracy. Machine learning models can also help identify which marketing strategies are most effective for different types of video games. By analyzing historical data, machine learning algorithms can identify which marketing channels, messages, and tactics are most likely to drive sales for different types of games. Video game sales prediction using machine learning can also lead to enhanced revenue for game developers and publishers. By accurately predicting sales for upcoming games, developers can better plan production schedules and allocate resources to maximize revenue. Using machine learning for video game sales prediction can also help reduce the risk associated with developing and publishing new games. By accurately predicting sales, game developers and publishers can make more informed decisions about which games to invest in and which ones to pass on.
Requirements	Basic Programming Language