customer-segmentation
mlcourse.ai
| customer-segmentation | mlcourse.ai | |
|---|---|---|
| 1 | 85 | |
| 2 | 9,502 | |
| - | - | |
| 10.0 | 0.0 | |
| 4 months ago | 19 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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
-
Using oneAPI AI Toolkits from Intel and Accenture Part 2
$ git clone https://github.com/oneapi-src/customer-segmentation
mlcourse.ai
What are some alternatives?
ai-transcribe - AI Starter Kit for the implementation of an AI transcribe system using Intel® Extension for PyTorch*
napari - napari: a fast, interactive, multi-dimensional image viewer for python
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.
attractors - Package for simulation and visualization of strange attractors.
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.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.