diff --git a/ML/Algorithms/Losses/MeanAbsoluteError/MeanAbsoluteError.py b/ML/Algorithms/Losses/MeanAbsoluteError/MeanAbsoluteError.py
new file mode 100644
index 0000000..30112db
--- /dev/null
+++ b/ML/Algorithms/Losses/MeanAbsoluteError/MeanAbsoluteError.py
@@ -0,0 +1,15 @@
+# Algorithms/Losses/mean_squared_error.py
+import numpy as np
+
+def mean_absolute_error(y_true, y_pred):
+    """
+    Calculate the mean absolute error between true and predicted values.
+
+    Parameters:
+    - y_true: True target values (numpy array).
+    - y_pred: Predicted values (numpy array).
+
+    Returns:
+    - Mean absolute error (float).
+    """    
+    return (np.absolute(y_true - y_pred)).mean()
\ No newline at end of file
diff --git a/ML/Algorithms/Losses/RootMeanSquaredError/RootMeanSquaredError.py b/ML/Algorithms/Losses/RootMeanSquaredError/RootMeanSquaredError.py
new file mode 100644
index 0000000..db2e566
--- /dev/null
+++ b/ML/Algorithms/Losses/RootMeanSquaredError/RootMeanSquaredError.py
@@ -0,0 +1,16 @@
+import numpy as np
+import math as mt
+
+def root_mean_squared_error(y_true,y_pred):
+    """
+    Calculate the root mean squared error between true and predicted values.
+
+    Parameters:
+    - y_true: True target values (numpy array).
+    - y_pred: Predicted values (numpy array).
+
+    Returns:
+    - Root Mean squared error (float).
+    """
+    return mt.sqrt(np.mean((y_true - y_pred) ** 2))
+
diff --git a/ML/README.md b/ML/README.md
index fdc8214..4e85be8 100644
--- a/ML/README.md
+++ b/ML/README.md
@@ -19,9 +19,10 @@
 
 | S.No  | Algorithm | S.No. | Algorithm | S.No. | Algorithm |
 |-------|-----------|-------|-----------|-------|-----------|
-|   1   | [Mean Squared Error](./Algorithms/Losses/MeanSquaredError) |   2   | [R2 Squared](./Algorithms/Losses/R2Squared) |   3   |  [Cross Entropy Loss](./Algorithms/Losses/CrossEntropyLoss)  |
-|   4   |  [Hinge Loss](./Algorithms/Losses/HingeLoss)  |   5   |  [Kullback Leibler (KL) Divergence Loss](./Algorithms/Losses/KullbackLeiblerDivergenceLoss)  |   6   |    |
-|   7   |    |   8   |    |   9   |   |
+|   1   | [Mean Squared Error](./Algorithms/Losses/MeanSquaredError) |   2   | [R2 Squared](./Algorithms/Losses/R2Squared) |   3   | [Cross Entropy Loss](./Algorithms/Losses/CrossEntropyLoss) |
+|   4   | [Hinge Loss](./Algorithms/Losses/HingeLoss) |   5   | [Kullback Leibler (KL) Divergence Loss](./Algorithms/Losses/KullbackLeiblerDivergenceLoss) |   6   | [Mean Absolute Error](./Algorithms/Losses/MeanAbsoluteError) |
+|   7   | [Root Mean Squared Error](./Algorithms/Losses/RootMeanSquaredError) |   8   |    |   9   |   |
+
 
 ## Available Documentations