GitHub - anandsaha/my.ai.ml.lab: Notes and codes on AI/ML topics

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{
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   "source": [
    "# AI and Machine Learning algorithm notes\n",
    "\n",
    "### Supervised algorithms\n",
    "\n",
    "\n",
    "\n",
    "|Sr.No.| Algorithm                             | Classification | Regression | Notes            |\n",
    "|------|:--------------------------------------|:--------------:|:----------:|------------------|\n",
    "|1     |Naive Bayes                            | Yes            | No         | -                |\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "1. [Naive Bayes (Using Gaussian NB) for Classification](ml_naive_bayes.ipynb)\n",
    "2. Support Vector Machines (SVM) for Classification\n",
    "3. Decision Tree for Classification and Regression\n",
    "4. K Nearest Neighbours for Classification and Regression\n",
    "5. AdaBoost for Classification (in conjunction with Decision Tree)\n",
    "6. Random Forest\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unsupervised Algorithms\n",
    "\n",
    "Used to learn clusters of probability distribution of data\n",
    "\n",
    "### Clustering\n",
    "\n",
    "1. K Means Clustering\n",
    "2. Hierarchial Clustering\n",
    "3. Gaussian Mixture Models, Probability Density Estimation (Under certain conditions, this is same as K Means)"
   ]
  }
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