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Update Linear Regression.ipynb #7

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17 changes: 17 additions & 0 deletions Module 2/Linear Regression.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -149,6 +149,15 @@
" cost = 0\n",
" # ====================== YOUR CODE HERE ======================\n",
" # Instructions: Compute the cost of a particular choice of theta\n",
...
h = np.dot(X,theta)
for i in range(m):
k = (h[i]-y[i])**2
cost = cost +k
cost = cost / (2*m)
...


" \n",
" \n",
" \n",
Expand Down Expand Up @@ -183,14 +192,22 @@
"source": [
"def gradientDescent(X, y, theta, alpha, iterations):\n",
" m = len(X) \n",
...
y=y.reshape((100,1))
...
" for i in range(len(X)):\n",
" # ====================== YOUR CODE HERE ======================\n",
" # Instructions: Perform a single gradient step on the parameter vector theta. \n",
...
theta[0] = theta[0] - alpha * (1/m) * sum(h - y)
theta[1] = theta[1] -alpha * (1/m) *sum(np.multiply((h-y),X_init))
...
" \n",
" \n",
" \n",
" \n",
" # ============================================================\n",
# I have made some changes in the range of the loop..i have used iterations instead of m
" return theta\n",
"\n",
"theta = gradientDescent(X, y, theta, alpha, iterations)\n",
Expand Down