Our solution uses AutoML to predict energy usage. This can be deployed for optimizing energy usage.
Data Exploration
We have created a group for the libraries used for Data Exploration in my solution. The data exploration helps in doing extensive analysis of different data types and in assisting to understand the patterns. Pandas is used in our solution for data manipulation and analysis.
JavaScript 2910 Version:Current
JavaScript 2910 Version:Current License: Permissive (Apache-2.0)
JavaScript 419 Version:v2.0.2
JavaScript 419 Version:v2.0.2 License: Others (Non-SPDX)
Python 36647 Version:1.5.2
Python 36647 Version:1.5.2 License: Permissive (BSD-3-Clause)
Machine Learning
We have created a group for Machine Learning which has the libraries used in my solution. The below libraries help in capturing the embeddings for the text. The embeddings are vectorial representations of text with their semantics.
Python 52681 Version:1.2.0
Python 52681 Version:1.2.0 License: Permissive (BSD-3-Clause)
Python 22526 Version:1.24.1
Python 22526 Version:1.24.1 License: Permissive (BSD-3-Clause)
Python 11773 Version:1.7.0
Python 11773 Version:1.7.0 License: Permissive (Apache-2.0)
Data Labeling
Libraries in this section are used for annotating data for creating training data for machine learning.
JavaScript 1686 Version:1
JavaScript 1686 Version:1 License: Permissive (Apache-2.0)
Python 6704 Version:v0.14.7
Python 6704 Version:v0.14.7 License: Permissive (BSD-3-Clause)
Jupyter Notebook 0 Version:Current
Jupyter Notebook 0 Version:Current License: Permissive (MIT)
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