Update README.md

README.md

@@ -19,11 +19,16 @@ Welcome to this repository of **time series analysis** and **forecasting** Noteb
 
 ##  What’s Inside
 
-This repository includes the following:
 
 - **Exploratory Data Analysis (EDA)**  
   Techniques for visualizing, decomposing, and understanding temporal structures in financial time series.
 
+
+  
+- **Feature Engineering for Time Series**  
+  Lag features, rolling statistics, seasonal indicators, and date-based encodings.
+
+
 - **Classical Forecasting Methods**  
  
   - ARIMA / SARIMA  
@@ -40,9 +45,6 @@ This repository includes the following:
   - XGBoost
   - Long Short Term Memory
 
-- **Feature Engineering for Time Series**  
-  Lag features, rolling statistics, seasonal indicators, and date-based encodings.
-
 - **Model Optimization and Evaluation**  
   Grid-search-cv , Randomized-search-cv, Training with cross-validation, and performance metrics (MAE, RMSE, MAPE).
 
@@ -54,7 +56,7 @@ This repository includes the following:
 
 ## Datasets
 
-The notebooks primarily work with **financial datasets**, such as:
+The notebooks primarily work with the following **financial datasets**:
 
 - Stock price data.
 - Commodity Prices.