https://github.com/sinhaparth5/climate_rnn_project
Recurrent Neural Network (RNN) model to predict Delhi's daily temperature based on historical weather data, and the model successfully achieved this goal with high accuracy.
https://github.com/sinhaparth5/climate_rnn_project
matrix rnn
Last synced: 6 months ago
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Recurrent Neural Network (RNN) model to predict Delhi's daily temperature based on historical weather data, and the model successfully achieved this goal with high accuracy.
- Host: GitHub
- URL: https://github.com/sinhaparth5/climate_rnn_project
- Owner: sinhaparth5
- Created: 2025-01-20T18:21:39.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-21T02:25:23.000Z (over 1 year ago)
- Last Synced: 2025-02-05T00:39:54.488Z (over 1 year ago)
- Topics: matrix, rnn
- Language: Julia
- Homepage:
- Size: 1.31 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Climate RNN Project
## Run the project
```bash
using Pkg
Pkg.activate(".")
Pkg.instantiate()
for pkg in ["CSV", "CairoMakie", "ColorSchemes", "DataFrames", "Downloads",
"JLD2", "ProgressMeter", "UnicodePlots"]
Pkg.add(pkg)
end
# Now set up the ClimateRNN package
cd("ClimateRNN")
Pkg.activate(".")
Pkg.instantiate()
# Go back to main project and develop the package
cd("..")
Pkg.activate(".")
Pkg.develop(path="ClimateRNN")
Pkg.resolve()
Pkg.instantiate()
include("notebooks/exploration.jl")
```