customer-segmentation VS best-of-ml-python

Compare customer-segmentation vs best-of-ml-python and see what are their differences.

customer-segmentation

AI Starter Kit for Customer Segmentation for Online Retail using Intel® Extension for Scikit-learn* (by oneapi-src)
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customer-segmentation best-of-ml-python
1 16
2 15,633
- 2.6%
10.0 7.8
3 months ago 8 days ago
Python Python
BSD 3-clause "New" or "Revised" License Creative Commons Attribution Share Alike 4.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

customer-segmentation

Posts with mentions or reviews of customer-segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-01.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing customer-segmentation and best-of-ml-python you can also consider the following projects:

ai-transcribe - AI Starter Kit for the implementation of an AI transcribe system using Intel® Extension for PyTorch*

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

dtale - Visualizer for pandas data structures

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

speechbrain - A PyTorch-based Speech Toolkit

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.