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  5. Firebase Predictions vs Kaggle

Firebase Predictions vs Kaggle

OverviewComparisonAlternatives

Overview

Firebase Predictions
Firebase Predictions
Stacks13
Followers32
Votes0
Kaggle
Kaggle
Stacks10
Followers7
Votes0

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Detailed Comparison

Firebase Predictions
Firebase Predictions
Kaggle
Kaggle

Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.

Machine learners share, stress test, and stay up-to-date on all the latest ML techniques and technologies. Discover a huge repository of community-published models, data & code for your next project.

Boost revenue and retention through customized user experiences;Send smarter notifications;Create custom predictions
Find all the resources and knowledge needed for your next real-world ML project; High-quality public datasets. Everything from avocado prices to video game sales; Public notebooks and access to a powerful notebook environment with no cost GPUs & TPUs; Pre-trained, ready-to-deploy ML models; Build your ML skills in a supportive and helpful community
Statistics
Stacks
13
Stacks
10
Followers
32
Followers
7
Votes
0
Votes
0
Integrations
Firebase
Firebase
Google Analytics
Google Analytics
Jupyter
Jupyter
Python
Python

What are some alternatives to Firebase Predictions, Kaggle?

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

PyXLL

PyXLL

Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

BigML

BigML

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

Sportlingo

Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

AI Video Generator

AI Video Generator

Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.

SAM 3D

SAM 3D

Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.

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