customer-segmentation VS mlcourse.ai

Compare customer-segmentation vs mlcourse.ai 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)
ai-starter-kit Machine Learning scikit-learn

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mlcourse.ai

Open Machine Learning Course (by Yorko)
Machine Learning Data Analysis Data Science Pandas Algorithms Numpy Scipy Matplotlib Seaborn Plotly scikit-learn kaggle-inclass vowpal-wabbit Python ipynb Docker Math
Source Code
mlcourse.ai
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customer-segmentation mlcourse.ai
1 85
2 9,454
- -
10.0 3.4
3 months ago 5 months ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

mlcourse.ai

Posts with mentions or reviews of mlcourse.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

What are some alternatives?

When comparing customer-segmentation and mlcourse.ai 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*

attractors - Package for simulation and visualization of strange attractors.

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.

napari - napari: a fast, interactive, multi-dimensional image viewer for python

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

GreyNSights - Privacy-Preserving Data Analysis using Pandas

hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

quaternion - Add built-in support for quaternions to numpy

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.

julia - The Julia Programming Language

customer-segmentation vs ai-transcribe mlcourse.ai vs attractors customer-segmentation vs data-science-ipython-notebooks mlcourse.ai vs napari mlcourse.ai vs concrete-numpy mlcourse.ai vs GreyNSights mlcourse.ai vs hiitpi mlcourse.ai vs quaternion mlcourse.ai vs Grafana mlcourse.ai vs WaveNCC mlcourse.ai vs data-science-ipython-notebooks mlcourse.ai vs julia