4 may.ipynb

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      "500.0\n"
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    "p = 1000\n",
    "r = 10\n",
    "t = 5\n",
    "interest = p * r * t / 100\n",
    "print(interest)"
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    "def my_interest(p, r, t):\n",
    "    interest = p * r * t / 100\n",
    "    return interest"
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       "1000"
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    "p"
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    "type(p)"
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    "p1 = 10.5\n",
    "type(p1)"
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   "execution_count": 18,
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   "source": [
    "# a. Fresher\n",
    "# b. Experienced\n",
    "# c. Experienced - Application Engineer"
   ]
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   "cell_type": "markdown",
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   "source": [
    "I also would like to add another dimension for the participants who are working in leadership positions"
   ]
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   "execution_count": 21,
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   "source": [
    "# - Basic Syntax\n",
    "# - Couple of projects in AI\n",
    "#     - Sentiment Analysis\n",
    "#     - Celebrity Like me\n",
    "# - Problem Solving\n",
    "#     - Complexity\n",
    "#     - Recursion\n",
    "#     - algorithm/data structures\n",
    "# - Ancient Secrets of Prediction\n",
    "#    - Coding our own neural network\n",
    "#---\n",
    "# Rest of ML."
   ]
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