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Machine Learning Project: House Prices
Practical end-to-end Machine Learning book on real Dataset.
About Machine Learning Project: House Prices on Product Hunt
“Practical end-to-end Machine Learning book on real Dataset.”
Machine Learning Project: House Prices was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #44 on the daily leaderboard. This is a practical end-to-end guide on Data Science and Machine Learning applied to a House Prices Dataset.
Machine Learning Project: House Prices was featured in Artificial Intelligence (466.7k followers) and Tech (622k followers) on Product Hunt. Together, these topics include over 250.1k products, making this a competitive space to launch in.
Who hunted Machine Learning Project: House Prices?
Machine Learning Project: House Prices was hunted by Renan Moura. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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