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machine-learning in Python VS Xplenty

Compare machine-learning in Python VS Xplenty and see what are their differences

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machine-learning in Python logo machine-learning in Python

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Xplenty logo Xplenty

Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.
  • machine-learning in Python Landing page
    Landing page //
    2020-01-13
  • Xplenty Landing page
    Landing page //
    2023-09-18

Xplenty is a cloud-based ETL (extract, transform, load), ELT (extract, load, transform), and Reverse ETL data integration platform that easily unites multiple data sources. The Xplenty platform offers a simple, intuitive visual interface for building data pipelines between a large number of sources and destinations. Contact us for a free 14 day trial on the platform.

machine-learning in Python videos

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Xplenty videos

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Xplenty - The Leading Data Integration Platform

More videos:

  • Demo - Create a Customer 360 View with Xplenty & Salesforce
  • Review - Xplenty Customer Story - CloudFactory

Category Popularity

0-100% (relative to machine-learning in Python and Xplenty)

machine-learning in Python

Xplenty

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Integration
0 0%
Data Integration
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
ETL
0 0%
ETL
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare machine-learning in Python and Xplenty

machine-learning in Python Reviews

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Xplenty Reviews

Top 7 ETL Tools for 2021
Scalability, security, and excellent customer support are a few more advantages of Xplenty. For example, Xplenty has a new feature called Field Level Encryption, which allows users to encrypt and decrypt data fields using their own encryption key. Xplenty also makes sure to maintain regulatory compliance to laws like HIPPA, GDPR, and CCPA.
Source: www.xplenty.com
The 11 Best Low-Code Development Platforms
Xplenty is a low-code and no-code ETL (extract, transfer and load) data integration platform. It is made for both small, non-technical businesses and for deeply technical developers and engineers. It allows users to easily build data pipelines to and from over 100 data sources and destinations. Xplenty provides versatility, customization, and pre-built integrations to...
Source: www.xplenty.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Customer Story Keith connected multiple data sources with Amazon Redshift to transform, organize and analyze their customer data. Amazon Redshift Keith Slater Senior Developer at Creative Anvil Before we started with Xplenty, we were trying to move data from many different data sources into Redshift. Xplenty has helped us do that quickly and easily. The best feature of the...
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, machine-learning in Python seems to be more popular. It has been mentiond 7 times since March 2021. 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.

machine-learning in Python mentions (7)

  • Data science and cybersecurity with python project
    After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: about 1 year ago
  • Ask HN: How can I learn ML in 6 months as a teenager?
    Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 1 year ago
  • Are these CS courses enough CS knowledge for ML engineer?
    MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: about 2 years ago
  • how to do i train an AI
    Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
  • Python Data Science Project Ideas (+References)
    Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
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Xplenty mentions (0)

We have not tracked any mentions of Xplenty yet. Tracking of Xplenty recommendations started around Mar 2021.

What are some alternatives?

When comparing machine-learning in Python and Xplenty, 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.

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Matillion - Matillion is a cloud-based data integration software.

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

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

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