In this exercise, our goal is to predict future temperatures based on past temperature data. We'll use a dataset containing historical temperature records for this purpose.

1. Download Dataset: Download the dataset from Kaggle).
2. Data Preprocessing: Perform necessary preprocessing steps such as normalization on the dataset.
3. RNN Training: Train an RNN model on the preprocessed dataset.
4. Temperature Prediction: Use the trained RNN model to predict temperatures for the next 7 days based on the last 30 days' data.

Include a brief example showcasing the performance of the RNN model in predicting future temperatures based on past data.