Develop a Simple Recurrent Neural Network (RNN) model to predict the next day's minimum temperature

Problem Statement

Develop a Simple Recurrent Neural Network (RNN) model to predict the next day's minimum temperature using the temperature values of the previous 7 days. Evaluate the model using RMSE and compare actual and predicted temperatures graphically.

Download Dataset

Dataset Description

Item	Description
Dataset	Daily Minimum Temperatures
Domain	Weather / Time-Series
Time variable	Date
Target variable	Minimum Temperature
Input sequence	Previous 7 days
Output	Next day's minimum temperature
Problem type	Time-Series Forecasting / Regression
Model	Simple RNN
Evaluation	RMSE
Visualization	Actual vs Predicted Temperature

Students can follow the same workflow you demonstrated today:

Load → Clean → Date conversion → Visualization → Scaling → Create 7-day sequences → Reshape → 80:20 split (shuffle=False) → SimpleRNN → Adam + MSE → Train → Predict → Inverse Transform → RMSE → Actual vs Predicted graph.