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XGBoost VS Metromile

Compare XGBoost VS Metromile and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

Metromile logo Metromile

Making every car a smart car
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • Metromile Landing page
    Landing page //
    2023-02-14

XGBoost videos

+ Add

XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Metromile videos

+ Add

MetroMile Pay Per Mile Car Insurance Review

More videos:

  • Review - Metromile Insurance Review 2022 | Best Insurance Companies 2022
  • Review - Metromile Pay Per Mile Car Insurance Review 2021: Pulse Tracking Device Issues, Claims Review & More

Category Popularity

0-100% (relative to XGBoost and Metromile)

XGBoost

Metromile

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Insurance
0 0%
Insurance
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Car Insurance
0 0%
Car Insurance
100% 100

User comments

Share your experience with using XGBoost and Metromile. For example, how are they different and which one is better?
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Social recommendations and mentions

Metromile might be a bit more popular than XGBoost. We know about 1 link to it since March 2021 and only 1 link to XGBoost. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: about 2 years ago

Metromile mentions (1)

  • Ask HN: Who is hiring? (July 2021)
    Metromile | SF, Boston, Remote | Full time | https://metromile.com Looking for Senior Backend engineers to join the team as we expand to new states. Recently went public in February, Hybrid and Remote work options available. Email mberber at metromile .com. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing XGBoost and Metromile, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Clearcover - Clearcover is smarter car insurance. Get better coverage and spend less each month.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Insurance Panda - Use Insurance Panda to save on your auto insurance rates. Compare car insurance quotes today using our free quote comparison tool.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

CoverHound - Compare real rates from trusted insurers and get the right coverage for you and your business. Start saving today at CoverHound.com

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