From e4b268e8d4ae647c044860c4396c21f3ed4a5acb Mon Sep 17 00:00:00 2001
From: Shreyash Gupta <shreyash.gupta@shreyashg.com>
Date: Wed, 20 Nov 2024 12:38:09 -0600
Subject: [PATCH] Restructuring all of the chapters

---
 _toc.yml                                      | 28 +++++++++----
 ...1 - Introduction to Machine Learning.ipynb | 22 +---------
 ...pter 2 - Supervised Machine Learning.ipynb | 42 -------------------
 chapters/Chapter 2: Data Fundamentals.ipynb   | 10 +++++
 ...er 3 - Unsupervised Machine Learning.ipynb | 42 -------------------
 chapters/Chapter 3: Supervised Learning.ipynb | 10 +++++
 .../Chapter 4: Unsupervised Learning.ipynb    | 10 +++++
 ...> Chapter 5: Neural Networks Basics.ipynb} |  2 +-
 chapters/Chapter 6: Deep Learning Tools.ipynb | 10 +++++
 ...ter 7: Convolutional Neural Networks.ipynb | 10 +++++
 .../Chapter 8: Sequential Data and RNNs.ipynb | 10 +++++
 .../Chapter 9: Modern Deep Learning.ipynb     | 10 +++++
 12 files changed, 93 insertions(+), 113 deletions(-)
 delete mode 100644 chapters/Chapter 2 - Supervised Machine Learning.ipynb
 create mode 100644 chapters/Chapter 2: Data Fundamentals.ipynb
 delete mode 100644 chapters/Chapter 3 - Unsupervised Machine Learning.ipynb
 create mode 100644 chapters/Chapter 3: Supervised Learning.ipynb
 create mode 100644 chapters/Chapter 4: Unsupervised Learning.ipynb
 rename chapters/{Chapter x - Introduction to Deep Learning.ipynb => Chapter 5: Neural Networks Basics.ipynb} (99%)
 create mode 100644 chapters/Chapter 6: Deep Learning Tools.ipynb
 create mode 100644 chapters/Chapter 7: Convolutional Neural Networks.ipynb
 create mode 100644 chapters/Chapter 8: Sequential Data and RNNs.ipynb
 create mode 100644 chapters/Chapter 9: Modern Deep Learning.ipynb

diff --git a/_toc.yml b/_toc.yml
index a6cc1c1..d62a6ea 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -1,15 +1,29 @@
 format: jb-book
 root: README.md
 parts:
-  - caption: Machine Learning
+  - caption: Foundations of Machine Learning
     chapters:
       - file: chapters/Chapter 1 - Introduction to Machine Learning
         title: "Chapter 1 - Introduction to Machine Learning"
-      - file: chapters/Chapter 2 - Supervised Machine Learning
-        title: "Chapter 2 - Supervised Machine Learning"
-      - file: chapters/Chapter 3 - Unsupervised Machine Learning
-        title: "Chapter 3 - Unsupervised Machine Learning"
-  - caption: Deep Learning
+      - file: chapters/Chapter 2 - Data Fundamentals
+        title: "Chapter 2 - Data Fundamentals"
+      - file: chapters/Chapter 3 - Supervised Learning
+        title: "Chapter 3 - Supervised Learning"
+      - file: chapters/Chapter 4 - Unsupervised Learning
+        title: "Chapter 4 - Unsupervised Learning"
+  - caption: Deep Learning Fundamentals
     chapters:
-      - file: "chapters/Chapter x - Introduction to Deep Learning"
+      - file: chapters/Chapter 5 - Neural Networks Basics
+        title: "Chapter 5 - Neural Networks Basics"
+      - file: chapters/Chapter 6 - Deep Learning Tools
+        title: "Chapter 6 - Deep Learning Tools"
+  - caption: Advanced Deep Learning
+    chapters:
+      - file: chapters/Chapter 7 - Convolutional Neural Networks
+        title: "Chapter 7 - Convolutional Neural Networks"
+      - file: chapters/Chapter 8 - Sequential Data and RNNs
+        title: "Chapter 8 - Sequential Data and RNNs"
+      - file: chapters/Chapter 9 - Modern Deep Learning
+        title: "Chapter 9 - Modern Deep Learning"
+      - file: chapters/Chapter x - Introduction to Deep Learning
         title: "Chapter x - Introduction to Deep Learning"
\ No newline at end of file
diff --git a/chapters/Chapter 1 - Introduction to Machine Learning.ipynb b/chapters/Chapter 1 - Introduction to Machine Learning.ipynb
index b3c335f..0190f25 100644
--- a/chapters/Chapter 1 - Introduction to Machine Learning.ipynb	
+++ b/chapters/Chapter 1 - Introduction to Machine Learning.ipynb	
@@ -27,20 +27,6 @@
     "</div>\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -159,8 +145,7 @@
     "td:last-child {\n",
     "    width: 30%;\n",
     "}\n",
-    "</style>\n",
-    "\n"
+    "</style>\n"
    ]
   },
   {
@@ -239,11 +224,6 @@
     "}\n",
     "</style>\n"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {
diff --git a/chapters/Chapter 2 - Supervised Machine Learning.ipynb b/chapters/Chapter 2 - Supervised Machine Learning.ipynb
deleted file mode 100644
index 9b3515d..0000000
--- a/chapters/Chapter 2 - Supervised Machine Learning.ipynb	
+++ /dev/null
@@ -1,42 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Supervised Learning\n",
-    "---\n",
-    "### Setup\n",
-    "* Find a prediction function, $h: x \\to y$ <br>\n",
-    "* Given Training Set - ${(x^{(1)}, y^{(1)}), \\cdots, (x^{(n)}, y^{(n)})}$, $x^{(i)} \\in X$, $y^{(i)} \\in Y$<br>\n",
-    "* Do: Find a good, $h: x \\to y$ (hypothesis)\n",
-    "* if y is discrete, example of classfication problems\n",
-    "* if y is contnuous, example of regression\n",
-    "* When you look at new data, look through it. Figure out what is going on\n",
-    "\n",
-    "[Data](https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques)\n",
-    "| | Size | Bedroom | Lot Size | ... | Price |\n",
-    "| -------- | ------- | -------- | -------- | -------- | -------- |\n",
-    "| $X^{1}$ | 4 | 3 | aa | ... | x |\n",
-    "\n",
-    "How dow we represent $h(x)$<br>\n",
-    "$ h(x) = \\theta _{0} + \\theta _{1}x_1 + \\cdots + \\theta _{d}x_{d}$ = $\\sum_{j = 0}^d \\theta _{j}x_{j}$\n",
-    "\n",
-    "Parameters, $\\theta = \\begin{bmatrix} \\theta _{0} \\\\ \\theta _{1} \\\\ \\theta _{2} \\\\ \\vdots \\\\ \\theta _{d} \\end{bmatrix}$\n",
-    "Features, $X^{(1)} = \\begin{bmatrix} x_{0}^{(1)} \\\\ x_{1}^{(1)} \\\\ x_{2}^{(1)} \\\\ \\vdots \\\\ x_{d}^{(1)} \\end{bmatrix}$"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "name": "python"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/chapters/Chapter 2: Data Fundamentals.ipynb b/chapters/Chapter 2: Data Fundamentals.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 2: Data Fundamentals.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter 3 - Unsupervised Machine Learning.ipynb b/chapters/Chapter 3 - Unsupervised Machine Learning.ipynb
deleted file mode 100644
index 9b3515d..0000000
--- a/chapters/Chapter 3 - Unsupervised Machine Learning.ipynb	
+++ /dev/null
@@ -1,42 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Supervised Learning\n",
-    "---\n",
-    "### Setup\n",
-    "* Find a prediction function, $h: x \\to y$ <br>\n",
-    "* Given Training Set - ${(x^{(1)}, y^{(1)}), \\cdots, (x^{(n)}, y^{(n)})}$, $x^{(i)} \\in X$, $y^{(i)} \\in Y$<br>\n",
-    "* Do: Find a good, $h: x \\to y$ (hypothesis)\n",
-    "* if y is discrete, example of classfication problems\n",
-    "* if y is contnuous, example of regression\n",
-    "* When you look at new data, look through it. Figure out what is going on\n",
-    "\n",
-    "[Data](https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques)\n",
-    "| | Size | Bedroom | Lot Size | ... | Price |\n",
-    "| -------- | ------- | -------- | -------- | -------- | -------- |\n",
-    "| $X^{1}$ | 4 | 3 | aa | ... | x |\n",
-    "\n",
-    "How dow we represent $h(x)$<br>\n",
-    "$ h(x) = \\theta _{0} + \\theta _{1}x_1 + \\cdots + \\theta _{d}x_{d}$ = $\\sum_{j = 0}^d \\theta _{j}x_{j}$\n",
-    "\n",
-    "Parameters, $\\theta = \\begin{bmatrix} \\theta _{0} \\\\ \\theta _{1} \\\\ \\theta _{2} \\\\ \\vdots \\\\ \\theta _{d} \\end{bmatrix}$\n",
-    "Features, $X^{(1)} = \\begin{bmatrix} x_{0}^{(1)} \\\\ x_{1}^{(1)} \\\\ x_{2}^{(1)} \\\\ \\vdots \\\\ x_{d}^{(1)} \\end{bmatrix}$"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  }
- ],
- "metadata": {
-  "language_info": {
-   "name": "python"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/chapters/Chapter 3: Supervised Learning.ipynb b/chapters/Chapter 3: Supervised Learning.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 3: Supervised Learning.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter 4: Unsupervised Learning.ipynb b/chapters/Chapter 4: Unsupervised Learning.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 4: Unsupervised Learning.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter x - Introduction to Deep Learning.ipynb b/chapters/Chapter 5: Neural Networks Basics.ipynb
similarity index 99%
rename from chapters/Chapter x - Introduction to Deep Learning.ipynb
rename to chapters/Chapter 5: Neural Networks Basics.ipynb
index 974fd8a..6a08e25 100644
--- a/chapters/Chapter x - Introduction to Deep Learning.ipynb	
+++ b/chapters/Chapter 5: Neural Networks Basics.ipynb	
@@ -11,7 +11,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Introduction to Deep Learning\n",
+    "# DeepLearning Course\n",
     "----"
    ]
   },
diff --git a/chapters/Chapter 6: Deep Learning Tools.ipynb b/chapters/Chapter 6: Deep Learning Tools.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 6: Deep Learning Tools.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter 7: Convolutional Neural Networks.ipynb b/chapters/Chapter 7: Convolutional Neural Networks.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 7: Convolutional Neural Networks.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter 8: Sequential Data and RNNs.ipynb b/chapters/Chapter 8: Sequential Data and RNNs.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 8: Sequential Data and RNNs.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/chapters/Chapter 9: Modern Deep Learning.ipynb b/chapters/Chapter 9: Modern Deep Learning.ipynb
new file mode 100644
index 0000000..c55a287
--- /dev/null
+++ b/chapters/Chapter 9: Modern Deep Learning.ipynb	
@@ -0,0 +1,10 @@
+{
+ "cells": [],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}