machine-learning in Python Reviews & Product Details

The "machine-learning" project by jeff1evesque is a Python-based web interface and REST API designed for performing classification and regression tasks. It provides a user-friendly platform for implementing machine learning models, making it accessible for both beginners and experienced practitioners. Key Features and Functionality: - Web Interface: Offers an intuitive graphical user interface for managing datasets, training models, and visualizing results. - REST API: Enables seamless integration with other applications, allowing for automated machine learning workflows. - Classification and Regression: Supports a variety of algorithms to handle both classification and regression problems effectively. - Documentation: Comprehensive guides and resources are available to assist users in understanding and utilizing the platform's capabilities. Primary Value and User Solutions: This project simplifies the process of deploying machine learning models by providing a cohesive environment that combines data management, model training, and result analysis. It addresses common challenges in machine learning implementation, such as the need for coding expertise and integration complexities, thereby enabling users to focus on deriving insights and making data-driven decisions.

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machine-learning in Python

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Value at a Glance

Averages based on real user reviews.

Time to Implement

1 month

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$$$$$

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machine-learning in Python Integrations

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Integration information sourced from real user reviews.

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Jordas N.

Translator and interpreter

Small-Business (50 or fewer emp.)

1/13/2026

"Python: The Go-To Language for Accessible, High-Performance Machine Learning"

5/5

What do you like best about machine-learning in Python?

You can manage data effectively and understand different processes. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Python is excellent for learning, experimentation, and the majority of production machine learning tasks. However, as projects grow in scale, Python can sometimes feel fragile, inefficient, or unnecessarily complex. In these situations, languages such as C++, Java, or Rust are often used to handle the most critical components. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

1/18/2026

"Python Makes Machine Learning Feel Creative"

4.5/5

What do you like best about machine-learning in Python?

Python makes machine learning feel creative rather than painful. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Version conflicts between NumPy, CUDA, PyTorch, TensorFlow, and OS drivers can be brutal Review collected by and hosted on G2.com.

Ayushi S.

Technical Associate

Enterprise (> 1000 emp.)

1/16/2026

"Promising Emerging Technology with Continuous Improvements"

4.5/5

What do you like best about machine-learning in Python?

Since it’s an emerging technology, there are still many areas where improvements are being made and used. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

It can store personal data to help the agent learn. Review collected by and hosted on G2.com.

Komal A.

Spec Analytics

Enterprise (> 1000 emp.)

1/22/2025

"Pandas With Pyton"

4.5/5

What do you like best about machine-learning in Python?

I like that Python offers a rich ecosystem of libraries like TensorFlow, scikit-learn, and PyTorch, making it easy to implement and experiment with machine learning models efficiently. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

I dislike that machine learning in Python can sometimes be resource-intensive, requiring significant computational power for training large models. Review collected by and hosted on G2.com.

Mikhail I.

Director of Software Engineering

Enterprise (> 1000 emp.)

12/4/2024

"Director of Engineering - Oracle"

4/5

What do you like best about machine-learning in Python?

- Makes Data Preparation and exploration easy, specially at initial stage

- No need for data extraction. Can work with the data in DB

- Pipeline is simple Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

- Limited algorithms supported

- Cost, due to license Review collected by and hosted on G2.com.

What problems is machine-learning in Python solving and how is that benefiting you?

Python is ver popular language now. While keeping data in DB, no need for extraction steps, we can do complete POC for supervised, classification, bag of words, ... solutions for data in DB.

Without doing ETL, we currently are able to do some supervised learning solutions for data in Oracle DB using OML4Py Review collected by and hosted on G2.com.

Kunal M.

Data analysts

Mid-Market (51-1000 emp.)

8/21/2024

"My review on machine learning with python"

5/5

What do you like best about machine-learning in Python?

The thing I like best about machine learning with python is it provides extensive libraries and framework which make our work easy. It's has one of the best community support for coders.

Best for visualization with help of Matplotlib as Seaborn... Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Currently there is nothing which I see I dislike about machine learning with python. Review collected by and hosted on G2.com.

Shivam M.

Information Technology and Services

Small-Business (50 or fewer emp.)

6/2/2023

""Python: The Ideal Language for Machine Learning ""

5/5

What do you like best about machine-learning in Python?

Since Python is a very easy langauge and for machine learning, we have to write a large, diverse, and very complex code which is quite difficult in any other programing language so from that point python is the best suitable language for machine learning. Also, it has huge libraries that help developers to write code efficiently and effectively. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

As a machine-learning engineer, I have found Python to be an amazing machine-learning language, and I value its adaptability and breadth of features. Python is well-known not only for its success in machine learning and data science but also as a top choice for web development and other disciplines. Its extensive library ecosystem, user-friendly syntax, and lively community make it a favorite language for developers, enabling them to design new and efficient solutions. Python actually shines at providing a smooth and engaging experience for both machine learning practitioners and fans. Review collected by and hosted on G2.com.

What problems is machine-learning in Python solving and how is that benefiting you?

The use of machine learning in Python has contributed to the creation of powerful tools and libraries that have enabled the development of more advanced and sophisticated AI models like chat gpt. It provides efficient and scalable solutions to complex problems, helps in automating tasks, enhances decision-making processes, enables data-driven insights, and opens up opportunities for innovation and competitive advantage. Python's rich ecosystem of libraries, extensive documentation, and active community further support practitioners in building and deploying machine learning models effectively. Review collected by and hosted on G2.com.

Prasanth B.

Process Specialist

Small-Business (50 or fewer emp.)

10/19/2023

"It's important to know and apply"

4.5/5

What do you like best about machine-learning in Python?

Pandas - I love to explore the data with pandas Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

At times simple task we need to follow the sane steps Review collected by and hosted on G2.com.

Syed Adeel H.

Infrastructure Manager

Small-Business (50 or fewer emp.)

3/29/2023

"Data Mining for machine Learning"

4.5/5

What do you like best about machine-learning in Python?

One of the key benefits of using Python for machine learning is its ease of use. The language has a clean and intuitive syntax that makes it easy to write and understand code, even for those who are new to programming. Additionally, Python has a large and supportive community that provides plenty of resources and tutorials to help users get started. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Python is an interpreted language, which means that it is slower than compiled languages like C++ or Java. This can be a disadvantage when working with very large datasets or complex algorithms. Review collected by and hosted on G2.com.