From e88c13cf073804a4a07fcad5f8c5f464e71438e0 Mon Sep 17 00:00:00 2001
From: Harshikha <85279763+Har8899@users.noreply.github.com>
Date: Mon, 29 Jul 2024 20:37:56 +0530
Subject: [PATCH] add files

---
 03Handing Numrical data/00Problem.py          |  20 +++++++++
 03Handing Numrical data/01Problem.py          |  40 ++++++++++++++++++
 03Handing Numrical data/02Problem.py          |  34 +++++++++++++++
 03Handing Numrical data/03Problem.py          |   0
 03Handing Numrical data/04Problem.py          |   0
 03Handing Numrical data/05Problem.py          |   0
 03Handing Numrical data/06Problem.py          |   0
 03Handing Numrical data/07Problem.py          |   0
 03Handing Numrical data/08Problem.py          |   0
 03Handing Numrical data/09Problem.py          |   0
 03Handing Numrical data/10Problem.py          |   0
 03Handing Numrical data/11Problem.py          |   0
 03Handing Numrical data/Images/Normalizer.png | Bin 0 -> 3146 bytes
 .../Images/NormalizerL1.png                   | Bin 0 -> 2408 bytes
 .../Images/NormalizerL2.png                   | Bin 0 -> 3146 bytes
 .../Images/Screenshot 2024-07-29 193529.png   | Bin 0 -> 7759 bytes
 .../Images/Standardization.png                | Bin 0 -> 2045 bytes
 17 files changed, 94 insertions(+)
 create mode 100644 03Handing Numrical data/00Problem.py
 create mode 100644 03Handing Numrical data/01Problem.py
 create mode 100644 03Handing Numrical data/02Problem.py
 create mode 100644 03Handing Numrical data/03Problem.py
 create mode 100644 03Handing Numrical data/04Problem.py
 create mode 100644 03Handing Numrical data/05Problem.py
 create mode 100644 03Handing Numrical data/06Problem.py
 create mode 100644 03Handing Numrical data/07Problem.py
 create mode 100644 03Handing Numrical data/08Problem.py
 create mode 100644 03Handing Numrical data/09Problem.py
 create mode 100644 03Handing Numrical data/10Problem.py
 create mode 100644 03Handing Numrical data/11Problem.py
 create mode 100644 03Handing Numrical data/Images/Normalizer.png
 create mode 100644 03Handing Numrical data/Images/NormalizerL1.png
 create mode 100644 03Handing Numrical data/Images/NormalizerL2.png
 create mode 100644 03Handing Numrical data/Images/Screenshot 2024-07-29 193529.png
 create mode 100644 03Handing Numrical data/Images/Standardization.png

diff --git a/03Handing Numrical data/00Problem.py b/03Handing Numrical data/00Problem.py
new file mode 100644
index 0000000..6bc229f
--- /dev/null
+++ b/03Handing Numrical data/00Problem.py	
@@ -0,0 +1,20 @@
+# ReScaling a feature
+
+# Load the Library
+import numpy as np
+from sklearn import preprocessing
+
+# Create Feature
+feature = np.array([[-900.5],
+                    [-300.1],
+                    [0],
+                    [300.1],
+                    [900.9]])
+
+# Create Scaler
+minmax_Scale = preprocessing.MinMaxScaler(feature_range=(0, 1))
+# Scale feature
+scaled_feature = minmax_Scale.fit_transform(feature)
+
+# show feature
+print(scaled_feature)
\ No newline at end of file
diff --git a/03Handing Numrical data/01Problem.py b/03Handing Numrical data/01Problem.py
new file mode 100644
index 0000000..c94665a
--- /dev/null
+++ b/03Handing Numrical data/01Problem.py	
@@ -0,0 +1,40 @@
+# Standardizing a Feature
+
+# Load the Libraries
+import numpy as np
+from sklearn.preprocessing import *
+
+# Create feature
+x = np.array([[-1000.1],
+              [-200.2],
+              [500.3],
+              [600.6],
+              [9000.9]])
+
+# Create Feature
+scaler = StandardScaler()
+
+# Transform the feature
+standardized = scaler.fit_transform(x)
+
+# show the feature
+print(standardized)
+
+# print mean and std
+print('mean :', round(standardized.mean()))
+print('Std', standardized.std())
+
+
+'''
+If our data has significant outliers, it can negatively impact our standardization by
+affecting the feature’s mean and variance. In this scenario, it is often helpful to instead
+rescale the feature using the median and quartile range. In scikit-learn, we do this
+using the RobustScaler method
+'''
+# Create scaler
+robust_scaler = RobustScaler()
+
+# Transform Feature
+tf = robust_scaler.fit_transform(x)
+# show the feature
+print(tf)
diff --git a/03Handing Numrical data/02Problem.py b/03Handing Numrical data/02Problem.py
new file mode 100644
index 0000000..70976da
--- /dev/null
+++ b/03Handing Numrical data/02Problem.py	
@@ -0,0 +1,34 @@
+# Normalizing Observation
+
+# Load the libraries
+import numpy as np
+from sklearn.preprocessing import Normalizer
+
+# Crate a featture matrix
+features = np.array([[0.5, 0.5],
+                    [1.1, 3.5],
+                    [1.5, 20.2],
+                    [1.64, 34.5],
+                    [10.9, 3.3]])
+
+# create normalizer
+normalizer = Normalizer(norm='l2')
+
+'''
+s. Normalizer
+rescales the values on individual observations to have unit norm (the sum of their
+lengths is 1). This type of rescaling is often used when we have many equivalent fea‐
+tures (e.g., text classification when every word or n-word group is a feature).
+'''
+# Transform feature matrix
+print(normalizer.transform(features))
+
+'''
+Normalizer provides three norm options with
+Euclidean norm (often called L2)
+
+'''
+
+# Transform feature matrix
+f_l1_norm = Normalizer(norm='l1').transform(features)
+print(f_l1_norm)
\ No newline at end of file
diff --git a/03Handing Numrical data/03Problem.py b/03Handing Numrical data/03Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/04Problem.py b/03Handing Numrical data/04Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/05Problem.py b/03Handing Numrical data/05Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/06Problem.py b/03Handing Numrical data/06Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/07Problem.py b/03Handing Numrical data/07Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/08Problem.py b/03Handing Numrical data/08Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/09Problem.py b/03Handing Numrical data/09Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/10Problem.py b/03Handing Numrical data/10Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/11Problem.py b/03Handing Numrical data/11Problem.py
new file mode 100644
index 0000000..e69de29
diff --git a/03Handing Numrical data/Images/Normalizer.png b/03Handing Numrical data/Images/Normalizer.png
new file mode 100644
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