{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Lesson Plan\n", "> THis is the lesson plan notebook that Eli wanted\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- categories: [jupyter, week-30]" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Lesson Structure:\n", "- Introduce Data Analysis and Predictive Analysis\n", "- Data Analysis Discussion (Uses/Primary Industries)\n", "- Introduce Numpy/Numpy Tutorial\n", "- Using Pandas\n", "- Tenserflow and Neural Networks" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Teaching the Lesson\n", "\n", "- Explain definitions of each topic before getting into the code\n", "- Use code examples to explain code packages like Numpy and Tenserflow\n", "- Ask questions throughout the lessons\n", "- Explain Hacks at the end of each section and once again during a final summary" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Hacks\n", "- Practice problems ( Choose and answer 3 from our list )\n", "- Complete Hacks problems for using Numpy, Pandas, and Tenserflow\n", "- Create a diagram showing what you have learned about the topics above" ] } ], "metadata": { "language_info": { "name": "python" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }