adelekuzmiakova / CS229-machine-learning-solar-energy-predictions

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

Date Created 2017-12-08 (6 years ago)

Commits 28 (last one 3 years ago)

Stargazers 55 (0 this week)

Watchers 3 (0 this week)

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RepositoryStats indexes 534,551 repositories, of these adelekuzmiakova/CS229-machine-learning-solar-energy-predictions is ranked #405,286 (24th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #75,161/103,470.

adelekuzmiakova/CS229-machine-learning-solar-energy-predictions is also tagged with popular topics, for these it's ranked: python (#16,610/20447), deep-learning (#6,331/7827), machine-learning (#5,982/7371), tensorflow (#1,842/2165), matlab (#249/313)

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matlab python tensorflow pca-analysis solar-energy boosting-tree deep-learning data-processing machine-learning lstm-neural-networks time-series-prediction time-series-forecasting

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updated: 2024-06-26 @ 09:01am, id: 113542094 / R_kgDOBsSDzg