### **EDA**

* Dataset has 15,431 observations with atmospheric variables.
* Some missing values exist in TEM, MXT, MNT, SLP, and RIN.
* Variables show moderate variation.
* MXT is positively related with TEM and negatively related with some variables. 



### **Model**

* Neural network (MLP) used to predict MXT.
* Model shows good fit with high (R^2).
* Error values (RMSE, MAE) are low. 



### **Scatter Plot**

* Points lie close to straight line.
* Indicates good agreement between actual and predicted values.
* Model has good predictive accuracy.