Updated README.md

Author: Findcoding

README.md

@@ -49,9 +49,9 @@ visualized through a series of plots created using **Matplotlib** and **Seaborn*
 > ## Plots:
 
 <div float="left">
-<img src="Plots\Unsampled\3.png" width=250 alt="Unsampled Class Distribution" hspace="10">
-<img src="Plots\Undersampled\5.png" width=250  alt="Undersampled Class Distribution" hspace="10">
-<img src="Plots\Oversampled\4.png" width=250  alt="Oversampled Class Distribution" hspace="10">
+<img src="Plots\3.png" width=250 alt="Unsampled Class Distribution" hspace="10">
+<img src="Plots\5.png" width=250  alt="Undersampled Class Distribution" hspace="10">
+<img src="Plots\4.png" width=250  alt="Oversampled Class Distribution" hspace="10">
 </div>
 <br>
 <div float="left">
@@ -65,14 +65,14 @@ The EDA for the Android Permission Dataset provided valuable insights into the r
 dataset and helped us identify the most important features for predicting the app rating. It also provided a foundation for further
 analysis using machine learning techniques.
 <div float="left">
-<img src="Plots\Unsampled\e1.png" width=500 alt="" hspace="10">
-<img src="Plots\Undersampled\e2.png" width=500  alt="" hspace="10">
+<img src="Plots\e1.png" width=500 alt="" hspace="10">
+<img src="Plots\e2.png" width=500  alt="" hspace="10">
 </div>
 <br>
 <div float="left">
-<img src="Plots\Unsampled\e3.png" width=250 alt="" hspace="10">
-<img src="Plots\Undersampled\e5.png" width=250  alt="" hspace="10">
-<img src="Plots\Oversampled\e4.png" width=250  alt="" hspace="10">
+<img src="Plots\e3.png" width=250 alt="" hspace="10">
+<img src="Plots\e5.png" width=250  alt="" hspace="10">
+<img src="Plots\e4.png" width=250  alt="" hspace="10">
 </div>
 
 > ## Methodology: