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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1 month

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machine-learning in Python Integrations

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Integration information sourced from real user reviews.

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Verified User in Management Consulting

Small-Business (50 or fewer emp.)

11/12/2021

Business partner of the seller or seller's competitor, not included in G2 scores.

"Python for Machine Learning (Model Development & Deployment)"

5/5

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

Python is the most advanced programming language for implementing machine learning models from scratch. It provides a vast range of libraries and custom functions for building, training, and developing ML models. It offers easily interpretable, reasonable, and concise code and allows developers to build and test complex machine learning algorithms on structured and unstructured data with ease. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Python is an interpreted programming language that has limited speed since code execution occurs line by line. Threading is not supported in Python, which serves as an issue while implementing ML solutions at scale. Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

I would definitely recommend using Python for building machine-learning-based applications, provided your team has the expertise in coding. Python requires developers to be familiar with the concept of functions, classes and object oriented programming. Review collected by and hosted on G2.com.

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

We are using python in multiple projects for building machine-learning solutions from scratch. It helped the developers to quickly train and test the ML models on structured data for building risk-based scorecards. Scikit-learn library provides all the algorithms for implementing machine-learning models such as Random Forest, XGBoost, SVM, Linear and Logistic Regression. We also use Python for automating processes that involve manual screening and verification. Review collected by and hosted on G2.com.

Verified User in Design

Enterprise (> 1000 emp.)

5/19/2022

"It is very easy to create machine learning model with the help of several python library ."

5/5

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

Creating a machine learning model with the help of python is very easy, also if you are integrating it with synchronous pipeline python works very well. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

I can only think of a little slow otherwise everything is good. Review collected by and hosted on G2.com.

Alvaro R.

Profesor titular

Mid-Market (51-1000 emp.)

6/17/2021

"Powerful and modern machine-learning using python"

5/5

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

The last and more advanced models for machine learning are available in python. This allows you to perform up-to-date experiments. There are a lot of tutorials for using machine learning with python and the most modern systems use it.

If I have any problem with the output, or any error, there are a lot of internet forums showing any possible solution. That encourages me to use it because I can be sure of solving any problem I may have. If you do not find the solution, you can post a question and wait for an answer in the next days.

On the other hand, machine learning with python allows using HW acceleration such as GPUs. You only need to set the proper HW.

Another advantage is the fact that there are several libraries for doing machine learning with python. In case you do not like any, you can choose among the others. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

There are multiple libraries and the documentation for some of them is sometimes incomplete. Besides, some functions change from different versions, making old code incompatible with new code. Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

If you already know what algorithm you want to use, you only need to search for the name of that algorithm in the library. If you have any doubt, I suggest to take a look at the API or any examples in the web. Review collected by and hosted on G2.com.

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

I mostly work with text classification and other tasks related to natural language processing. I can process text with other python tools and connect the output to any machine learning model. Review collected by and hosted on G2.com.

Dinesh Y.

Manager

Enterprise (> 1000 emp.)

12/30/2021

"Best open source platform to perform Analytics"

5/5

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

It's available on open-source platform & have a very good community for clarifying all the doubts Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Data security is one of the concerns here, but there's a lot of ways to protect it. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

1/15/2022

"Machine learning with python"

4.5/5

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

It will reduce our work drastically. Example: last month I worked on text summarisation with ml at the end of the project I concluded it reduces 80% of our manual effort. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

There is a drawback that it is not accurate sometime Review collected by and hosted on G2.com.

manisha s.

intern

Computer Software

Small-Business (50 or fewer emp.)

7/29/2020

"Python- scripting tool and machine learning tool"

4/5

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

Python is easy to use machine learning programming language which have extensive libraries and packages .Its packages provide efficient visualization to understand .Also nowadays used for cyber security purpose for automated scripting Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Syntax is less user friendly comparatively to other machine programming languages like R which makes it less efficient for beginners . Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

Its best programming language to cater any algorithm needs and has been growing daily through deep learning and AI . Review collected by and hosted on G2.com.

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

It really helped me to code better any kind of machine learning algorithm Review collected by and hosted on G2.com.

Kartik K.

Product Technology Planning- Staff Industrial Engineer, Global Operations

Enterprise (> 1000 emp.)

9/15/2020

"ML in python"

4.5/5

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

Compatibility with dataframes and online community. Also its easy to learn and easy to use Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Less flexibility on changing the algorithm. Modify libraries is not that easy Review collected by and hosted on G2.com.

Verified User in Business Supplies and Equipment

Enterprise (> 1000 emp.)

7/29/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Positive feedback on Python Machine Learning"

5/5

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

The fact its operates on a simplified route. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

Sometimes the error code can be difficult to identify Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

I would say everyone should try this out, and I strongly believe that you will also recommend this for others Review collected by and hosted on G2.com.

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

Currently am working on designing a component that can be added to an already existing system.

Machine-learning in Python make the coding of the component easy, because we would just have to most time copy and past to see the required result. Review collected by and hosted on G2.com.

Prabakar S.

Project Engineer

Computer Software

Small-Business (50 or fewer emp.)

4/13/2019

"Machine Learning Era"

4.5/5

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

Packages like Sci-kit learn and Keras are very useful for fast deployment in the production line. Deep Learning in computer vision shows a considerable result. With a huge amount of data, Python Machine Learning frameworks help us to develop faster and reduce our development time. Frameworks like Tensorflow, caffe, pytorch are very effective in deep learning development and deployment. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

When we have a large amount of dataset, it is necessary to analyze it before we use it for development. Here in Python Machine Learning, there is no good data analysis framework in python. I dislike python because it's development time is very high. Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

Good tool. Review collected by and hosted on G2.com.

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

We use machine learning in quality analysis. Earlier we used custom algorithms for finding defects on a product in the production line. After getting into python machine learning all the features are learned by the framework itself, we only need to make sure the data we give in is unbiased. The development burden is reduced a lot. Now we are focussing on making better hardware for our products. Review collected by and hosted on G2.com.

Neha S.

Software Engineer

Computer Software

Small-Business (50 or fewer emp.)

8/2/2018

"One of the best library for implementing machine learning"

5/5

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

It's amalgamation of all sorts of machine learning algorithms along with their examples and tutorials is the best thing. It is very well documented which makes it easy to implement. It is also user friendly. Review collected by and hosted on G2.com.

What do you dislike about machine-learning in Python?

It has provided many methods of implementation which is quite good but arises too much confusion at the same time. So one needs to do some research as to which one to select among the available options. Review collected by and hosted on G2.com.

Recommendations to others considering machine-learning in Python:

Machine learning in python is one full package of great libraries one of which is "scikit-learn". Along with it has provided all sorts of useful examples as well as tutorials which makes us easy for implementing machine learning. Review collected by and hosted on G2.com.

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

It has helped quite a lot in research works related to data mining and also in big data analysis. We could train our data with the different algorithms available and so were able to judge the accuracy. The most important usage is of the "scikit-learn" library. Review collected by and hosted on G2.com.