Merge branch 'master' of https://github.com/codebasics/py

Author: dhavalsays

ML/2_linear_reg_multivariate/2_linear_regression_multivariate.ipynb

@@ -32,7 +32,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will use regression with multiple variables here. Price can be calculated as following equation,"
+    "Given these home prices find out price of a home that has,\n",
+    "\n",
+    "**3000 sqr ft area, 3 bedrooms, 40 year old**\n",
+    "\n",
+    "**2500 sqr ft area, 4 bedrooms,  5 year old**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will use regression with multiple variables here. Price can be calculated using following equation,"
    ]
   },
   {
@@ -51,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 44,
    "metadata": {
     "collapsed": true
    },
@@ -64,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 45,
    "metadata": {
     "scrolled": true
    },
@@ -132,6 +143,13 @@
        "      <td>8</td>\n",
        "      <td>760000</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4100</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>810000</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -142,10 +160,11 @@
        "1  3000       4.0   15  565000\n",
        "2  3200       NaN   18  610000\n",
        "3  3600       3.0   30  595000\n",
-       "4  4000       5.0    8  760000"
+       "4  4000       5.0    8  760000\n",
+       "5  4100       6.0    8  810000"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -164,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 46,
    "metadata": {
     "collapsed": true
    },
@@ -176,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 47,
    "metadata": {
     "collapsed": true
    },
@@ -187,7 +206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -235,7 +254,7 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>3200</td>\n",
-       "      <td>3.0</td>\n",
+       "      <td>4.0</td>\n",
        "      <td>18</td>\n",
        "      <td>610000</td>\n",
        "    </tr>\n",
@@ -253,6 +272,13 @@
        "      <td>8</td>\n",
        "      <td>760000</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4100</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>810000</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -261,12 +287,13 @@
        "   area  bedrooms  age   price\n",
        "0  2600       3.0   20  550000\n",
        "1  3000       4.0   15  565000\n",
-       "2  3200       3.0   18  610000\n",
+       "2  3200       4.0   18  610000\n",
        "3  3600       3.0   30  595000\n",
-       "4  4000       5.0    8  760000"
+       "4  4000       5.0    8  760000\n",
+       "5  4100       6.0    8  810000"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -277,7 +304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 49,
    "metadata": {
     "scrolled": true
    },
@@ -288,7 +315,7 @@
        "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -300,16 +327,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([   137.25, -26025.  ,  -6825.  ])"
+       "array([   112.06244194,  23388.88007794,  -3231.71790863])"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -320,18 +347,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 51,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "383724.99999999983"
+       "221323.00186540384"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,16 +376,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([ 444400.])"
+       "array([ 498408.25158031])"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -369,24 +396,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 55,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "444399.9999999998"
+       "498408.25157402386"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "137.25*3000 + -26025*3 + -6825*40 + 383724.99999999983"
+    "112.06244194*3000 + 23388.88007794*3 + -3231.71790863*40 + 221323.00186540384"
    ]
   },
   {
@@ -398,16 +425,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([ 588625.])"
+       "array([ 578876.03748933])"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }

ML/2_linear_reg_multivariate/homeprices.csv

@@ -4,3 +4,4 @@ area,bedrooms,age,price
 3200,,18,610000
 3600,3,30,595000
 4000,5,8,760000
+4100,6,8,810000