Naive Bayes Classification is added

Author: purandur

2.Classification/5.Naive_Bayes Classification/.ipynb_checkpoints/NBClassifier-checkpoint.ipynb

@@ -12,7 +12,7 @@
  "metadata": {},
  "source": [
  "Naive Bayes classification is based on Bayes Theorem. Formula for Bayes theorem is \n",
- "![title](formula.png)\n",
+ "![image](formula.png)\n",
  "\n",
  "where \n",
  "1. P(Ck/x) is the posterior Probability that a given datapoint will belong to class Ck given the features x.\n",

2.Classification/5.Naive_Bayes Classification/NBClassifier.ipynb

@@ -12,39 +12,14 @@
  "metadata": {},
  "source": [
  "Naive Bayes classification is based on Bayes Theorem. Formula for Bayes theorem is \n",
- "![title](formula.png)\n",
+ "![image](formula.png)\n",
  "\n",
  "where \n",
  "1. P(Ck/x) is the posterior Probability that a given datapoint will belong to class Ck given the features x.\n",
  "2. P(x/Ck) is the Likelyhood function, that is in simple case where the underlying labels are observed in the training data\n",
  "3. P(Ck) is prior probability function, that is out of all data points, how many examples are present which belong to class Ck.\n"
  ]
  },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<img src=\"formula.png\"/>"
- ],
- "text/plain": [
- "<IPython.core.display.Image object>"
- ]
- },
- "execution_count": 18,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from IPython.display import Image\n",
- "from IPython.core.display import HTML \n",
- "Image(url= \"formula.png\")"
- ]
- },
  {
  "cell_type": "code",
  "execution_count": 1,