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")-
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sinhaparth5/climate_rnn_project
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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.
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