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HongleiXieHongleiXie
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updates for cohort 4
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‎01_materials/notebooks/Classification-1.ipynb

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"cell_type": "code",
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"metadata": {},
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"cell_type": "code",
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{
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" <th>concavity_mean</th>\n",
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" <th>concave points_mean</th>\n",
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" <th>...</th>\n",
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" <th>radius_worst</th>\n",
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" <th>texture_worst</th>\n",
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" <th>perimeter_worst</th>\n",
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" <th>area_worst</th>\n",
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" <th>concave points_worst</th>\n",
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" <th>symmetry_worst</th>\n",
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" <th>fractal_dimension_worst</th>\n",
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" <th>Unnamed: 32</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <td>0.30010</td>\n",
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" <td>0.14710</td>\n",
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" <td>...</td>\n",
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" <td>25.380</td>\n",
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" <td>17.33</td>\n",
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" <td>184.60</td>\n",
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" <td>2019.0</td>\n",
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" <td>0.2654</td>\n",
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" <td>0.4601</td>\n",
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" <td>0.11890</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>0.08690</td>\n",
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" <td>0.07017</td>\n",
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" <td>...</td>\n",
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" <td>24.990</td>\n",
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" <td>23.41</td>\n",
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" <td>158.80</td>\n",
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" <td>1956.0</td>\n",
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" <td>0.1860</td>\n",
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" <td>0.2750</td>\n",
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" <td>0.08902</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>0.19740</td>\n",
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" <td>0.12790</td>\n",
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" <td>...</td>\n",
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" <td>23.570</td>\n",
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" <td>25.53</td>\n",
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" <td>152.50</td>\n",
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" <td>1709.0</td>\n",
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" <td>0.2430</td>\n",
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" <td>0.3613</td>\n",
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" <td>0.08758</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>0.24140</td>\n",
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" <td>0.10520</td>\n",
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" <td>...</td>\n",
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" <td>14.910</td>\n",
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" <td>26.50</td>\n",
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" <td>98.87</td>\n",
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" <td>567.7</td>\n",
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" <td>0.2575</td>\n",
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" <td>0.6638</td>\n",
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" <td>0.17300</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>0.19800</td>\n",
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" <td>0.10430</td>\n",
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" <td>...</td>\n",
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" <td>22.540</td>\n",
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" <td>16.67</td>\n",
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" <td>152.20</td>\n",
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" <td>1575.0</td>\n",
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" <td>0.1625</td>\n",
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" <td>0.2364</td>\n",
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" <td>0.07678</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>0.24390</td>\n",
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" <td>0.13890</td>\n",
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" <td>...</td>\n",
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" <td>25.450</td>\n",
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" <td>26.40</td>\n",
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" <td>166.10</td>\n",
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" <td>2027.0</td>\n",
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" <td>0.2216</td>\n",
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" <td>0.2060</td>\n",
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" <td>0.07115</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>565</th>\n",
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" <td>0.14400</td>\n",
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" <td>0.09791</td>\n",
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" <td>...</td>\n",
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" <td>23.690</td>\n",
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" <td>38.25</td>\n",
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" <td>155.00</td>\n",
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" <td>1731.0</td>\n",
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" <td>0.1628</td>\n",
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" <td>0.2572</td>\n",
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" <td>0.06637</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>566</th>\n",
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" <td>0.09251</td>\n",
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" <td>0.05302</td>\n",
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" <td>...</td>\n",
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" <td>18.980</td>\n",
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" <td>34.12</td>\n",
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" <td>126.70</td>\n",
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" <td>1124.0</td>\n",
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" <td>0.1418</td>\n",
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" <td>0.2218</td>\n",
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" <td>0.07820</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>567</th>\n",
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" <td>0.35140</td>\n",
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" <td>0.15200</td>\n",
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" <td>...</td>\n",
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" <td>25.740</td>\n",
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" <td>39.42</td>\n",
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" <td>184.60</td>\n",
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" <td>1821.0</td>\n",
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" <td>0.2650</td>\n",
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" <td>0.4087</td>\n",
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" <td>0.12400</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>568</th>\n",
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" <td>0.00000</td>\n",
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" <td>0.00000</td>\n",
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" <td>...</td>\n",
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" <td>9.456</td>\n",
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" <td>30.37</td>\n",
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" <td>59.16</td>\n",
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" <td>268.6</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.2871</td>\n",
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" <td>0.07039</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>569 rows × 33 columns</p>\n",
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"<p>569 rows × 32 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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"567 0.11780 0.27700 0.35140 0.15200 \n",
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"568 0.05263 0.04362 0.00000 0.00000 \n",
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"\n",
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" ... texture_worst perimeter_worst area_worst smoothness_worst \\\n",
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"0 ... 17.33 184.60 2019.0 0.16220 \n",
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"1 ... 23.41 158.80 1956.0 0.12380 \n",
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"2 ... 25.53 152.50 1709.0 0.14440 \n",
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"3 ... 26.50 98.87 567.7 0.20980 \n",
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"4 ... 16.67 152.20 1575.0 0.13740 \n",
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".. ... ... ... ... ... \n",
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"564 ... 26.40 166.10 2027.0 0.14100 \n",
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"565 ... 38.25 155.00 1731.0 0.11660 \n",
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"566 ... 34.12 126.70 1124.0 0.11390 \n",
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"567 ... 39.42 184.60 1821.0 0.16500 \n",
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"568 ... 30.37 59.16 268.6 0.08996 \n",
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"\n",
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" compactness_worst concavity_worst concave points_worst symmetry_worst \\\n",
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"0 0.66560 0.7119 0.2654 0.4601 \n",
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"1 0.18660 0.2416 0.1860 0.2750 \n",
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"2 0.42450 0.4504 0.2430 0.3613 \n",
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"3 0.86630 0.6869 0.2575 0.6638 \n",
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"4 0.20500 0.4000 0.1625 0.2364 \n",
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".. ... ... ... ... \n",
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"564 0.21130 0.4107 0.2216 0.2060 \n",
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"565 0.19220 0.3215 0.1628 0.2572 \n",
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"566 0.30940 0.3403 0.1418 0.2218 \n",
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"567 0.86810 0.9387 0.2650 0.4087 \n",
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"568 0.06444 0.0000 0.0000 0.2871 \n",
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"\n",
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" fractal_dimension_worst Unnamed: 32 \n",
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"0 0.11890 NaN \n",
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"1 0.08902 NaN \n",
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"2 0.08758 NaN \n",
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"3 0.17300 NaN \n",
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"4 0.07678 NaN \n",
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".. ... ... \n",
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"564 0.07115 NaN \n",
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"565 0.06637 NaN \n",
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"566 0.07820 NaN \n",
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"567 0.12400 NaN \n",
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"568 0.07039 NaN \n",
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"\n",
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"[569 rows x 33 columns]"
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" ... radius_worst texture_worst perimeter_worst area_worst \\\n",
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"0 ... 25.380 17.33 184.60 2019.0 \n",
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"1 ... 24.990 23.41 158.80 1956.0 \n",
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"2 ... 23.570 25.53 152.50 1709.0 \n",
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"3 ... 14.910 26.50 98.87 567.7 \n",
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"4 ... 22.540 16.67 152.20 1575.0 \n",
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".. ... ... ... ... ... \n",
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"564 ... 25.450 26.40 166.10 2027.0 \n",
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"565 ... 23.690 38.25 155.00 1731.0 \n",
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"566 ... 18.980 34.12 126.70 1124.0 \n",
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"567 ... 25.740 39.42 184.60 1821.0 \n",
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"568 ... 9.456 30.37 59.16 268.6 \n",
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"\n",
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" smoothness_worst compactness_worst concavity_worst \\\n",
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"0 0.16220 0.66560 0.7119 \n",
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"1 0.12380 0.18660 0.2416 \n",
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"2 0.14440 0.42450 0.4504 \n",
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"3 0.20980 0.86630 0.6869 \n",
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"4 0.13740 0.20500 0.4000 \n",
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".. ... ... ... \n",
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"564 0.14100 0.21130 0.4107 \n",
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"565 0.11660 0.19220 0.3215 \n",
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"566 0.11390 0.30940 0.3403 \n",
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"567 0.16500 0.86810 0.9387 \n",
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"568 0.08996 0.06444 0.0000 \n",
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"\n",
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" concave points_worst symmetry_worst fractal_dimension_worst \n",
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"0 0.2654 0.4601 0.11890 \n",
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"1 0.1860 0.2750 0.08902 \n",
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"2 0.2430 0.3613 0.08758 \n",
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"3 0.2575 0.6638 0.17300 \n",
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"4 0.1625 0.2364 0.07678 \n",
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".. ... ... ... \n",
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"564 0.2216 0.2060 0.07115 \n",
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"565 0.1628 0.2572 0.06637 \n",
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"566 0.1418 0.2218 0.07820 \n",
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"567 0.2650 0.4087 0.12400 \n",
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"568 0.0000 0.2871 0.07039 \n",
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"\n",
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"[569 rows x 32 columns]"
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]
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},
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"execution_count": 24,
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cancer = pd.read_csv('wdbc.csv')\n",
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"cancer = pd.read_csv('dataset/wdbc.csv')\n",
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"cancer"
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]
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.19"
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"version": "3.10.14"
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}
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},
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"nbformat": 4,

‎01_materials/notebooks/README.md

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This folder contains Jupyter notebooks and datasets (CSV's) that correspond to the slides presented in each session. Each notebook is designed to illustrate and expand on the concepts discussed in the slides.
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