Merge pull request #7 from codebygarrysingh/lin-regression-toolkit-py

Added regression toolkit util file and restructured branch

Author: codebygarrysingh

Linear systems with 2 variables.ipynb renamed to lin-algebra-2var-lin-system/Linear systems with 2 variables.ipynb

@@ -0,0 +1,41 @@
+# -*- coding: utf-8 -*-
+
+# -- Sheet --
+
+# **This is a toolkit lib file covering standard linear regression functions**
+
+
+# let's import all necessary libraries
+import numpy as np
+import matplotlib.pyplot as plt
+import math, copy
+
+# let's define the first function for calculating y predict value
+
+def compute_dep_var(x, w, b):
+
+    # an easier implementation would be to use a dot product np.dot(x, w) + b
+    dot_prod = 0
+    for i in range(x.shape[0]): # loop through all rows
+        dot_prod += x[i] * w[i]
+    
+    dep_var = dot_prod + b
+
+    return dep_var
+
+def test_compute_dep_var():
+
+    # define sample x training data
+    x_train = np.array([952,2,1,65])
+    w_train = np.array([0.0005,1,1,1])
+    b_train = 500
+
+    pred_val = compute_dep_var(x_train, w_train, b_train)
+
+    print(f"Predicted value is: {pred_val}")
+
+
+test_compute_dep_var()
+
+
+