Commit changes to book

_build/html/_sources/intro.md

@@ -1,5 +1,10 @@
 # {ml-nn-zero2hero}
 
+:::{admonition} Disclaimer
+:class: warning
+ All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.
+:::
+
 Welcome to **Collection of notes on {ml.nn-zero2hero}**. This repository includes notes and learnings following the Youtube Playlist on [nn_zero_to_hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) guide by Andrej Karpathy and the open-source notebooks available from the book on [Hands-On Machine Learning and Deep Learning](https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/) by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos on the Youtube Channel [3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi) are quite helpful as well.
 
 Other resources include (but not limited to),
@@ -25,13 +30,11 @@ The goals of this collection of notebooks are to:
     - [Mathematics for Machine Learning](https://mml-book.github.io/book/mml-book.pdf) Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong
 - Jupyter – These notebooks are based on Jupyter. You can run these notebooks in just one click using Google Colaboratory
 
-#### Packages
-- numpy
-- matplotlib
-- pandas
-- scikit-learn
-- tensorflow2
-- keras
+```{button-ref} notebooks/00/00.md
+:ref-type: doc
+:color: primary
+:class: sd-rounded-pill float-left
+
 
-```{tableofcontents}
+Get started
 ```

_build/html/_sources/notebooks/00/00.md

@@ -1 +1,12 @@
 ## Section 00 - Things Before Diving In
+
+### Packages
+- numpy
+- matplotlib
+- pandas
+- scikit-learn
+- tensorflow2
+- keras
+
+```{tableofcontents}
+```

_build/html/_sources/notebooks/01/01.md

@@ -1,4 +1,7 @@
 ## Section 01 - Exploring for Machine Learning
 
 ### Notebook 1.1 - Learning about the ML landscape
-### Notebook 1.2 - End-to-end ML project
+### Notebook 1.2 - End-to-end ML project
+
+```{tableofcontents}
+```

_build/html/intro.html

@@ -426,12 +426,7 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pre-requisites">Pre-requisites</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#packages">Packages</a><ul class="nav section-nav flex-column">
-</ul>
-</li>
-</ul>
-</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pre-requisites">Pre-requisites</a></li>
 </ul>
             </nav>
         </div>
@@ -445,6 +440,10 @@ <h2> Contents </h2>
 
   <section class="tex2jax_ignore mathjax_ignore" id="ml-nn-zero2hero">
 <h1>{ml-nn-zero2hero}<a class="headerlink" href="#ml-nn-zero2hero" title="Link to this heading">#</a></h1>
+<div class="warning admonition">
+<p class="admonition-title">Disclaimer</p>
+<p>All the rights of these codes and resources belong to their original authors. I am compiling a collection for self-learning purposes and to build tools by myself using the knowledge.</p>
+</div>
 <p>Welcome to <strong>Collection of notes on {ml.nn-zero2hero}</strong>. This repository includes notes and learnings following the Youtube Playlist on <a class="reference external" href="https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ">nn_zero_to_hero</a> guide by Andrej Karpathy and the open-source notebooks available from the book on <a class="reference external" href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/">Hands-On Machine Learning and Deep Learning</a> by Aurelien Geron. Personally, I found these to be two of the best resources available on this subject, purely from an applied learning stand point. For great visual understanding, the videos on the Youtube Channel <a class="reference external" href="https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi">3Blue1Brown</a> are quite helpful as well.</p>
 <p>Other resources include (but not limited to),</p>
 <ul class="simple">
@@ -475,58 +474,19 @@ <h2>Pre-requisites<a class="headerlink" href="#pre-requisites" title="Link to th
 </li>
 <li><p>Jupyter – These notebooks are based on Jupyter. You can run these notebooks in just one click using Google Colaboratory</p></li>
 </ul>
-<section id="packages">
-<h3>Packages<a class="headerlink" href="#packages" title="Link to this heading">#</a></h3>
-<ul class="simple">
-<li><p>numpy</p></li>
-<li><p>matplotlib</p></li>
-<li><p>pandas</p></li>
-<li><p>scikit-learn</p></li>
-<li><p>tensorflow2</p></li>
-<li><p>keras</p></li>
-</ul>
+<p><span class="sd-sphinx-override sd-btn sd-text-wrap sd-btn-primary sd-rounded-pill float-left">
+Get started</span></p>
+</section>
 <div class="toctree-wrapper compound">
-<p aria-level="2" class="caption" role="heading"><span class="caption-text">Pre-requisites</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/00/00.html">Section 00 - Things Before Diving In</a></li>
-</ul>
 </div>
 <div class="toctree-wrapper compound">
-<p aria-level="2" class="caption" role="heading"><span class="caption-text">Machine Learning</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/01/01.html">Section 01 - Exploring for Machine Learning</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/02/02.html">Section 02</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/03/03.html">Section 03</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
-</ul>
 </div>
 <div class="toctree-wrapper compound">
-<p aria-level="2" class="caption" role="heading"><span class="caption-text">Deep Learning</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/07/07.html">Section 07</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/08/08.html">Section 08</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/09/09.html">Section 09</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/10/10.html">Section 10</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://github.com/ageron/handson-ml3">github:handson-ml</a></li>
-</ul>
 </div>
 <div class="toctree-wrapper compound">
-<p aria-level="2" class="caption" role="heading"><span class="caption-text">Neural Networks</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/04/04.html">Section 04</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/05/05.html">Section 05</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notebooks/06/06.html">Section 06</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://github.com/karpathy/nn-zero-to-hero">github:nn-zero-to-hero</a></li>
-</ul>
 </div>
 <div class="toctree-wrapper compound">
-<p aria-level="2" class="caption" role="heading"><span class="caption-text">Other Notes</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference external" href="https://jupyterbook.org/en/stable/start/your-first-book.html">jupyter-books</a></li>
-</ul>
 </div>
-</section>
-</section>
 </section>
 
     <script type="text/x-thebe-config">
@@ -584,12 +544,7 @@ <h3>Packages<a class="headerlink" href="#packages" title="Link to this heading">
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pre-requisites">Pre-requisites</a><ul class="nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#packages">Packages</a><ul class="nav section-nav flex-column">
-</ul>
-</li>
-</ul>
-</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pre-requisites">Pre-requisites</a></li>
 </ul>
   </nav></div>
 

_build/html/notebooks/00/00.html

@@ -402,7 +402,9 @@
   </button>
 `);
 </script>
-
+<label class="sidebar-toggle secondary-toggle btn btn-sm" for="__secondary"title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="fa-solid fa-list"></span>
+</label>
 </div></div>
 
     </div>
@@ -418,6 +420,14 @@ <h1>Section 00 - Things Before Diving In</h1>
     <div id="print-main-content">
         <div id="jb-print-toc">
 
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#packages">Packages</a></li>
+</ul>
+            </nav>
         </div>
     </div>
 </div>
@@ -429,8 +439,23 @@ <h1>Section 00 - Things Before Diving In</h1>
 
   <section id="section-00-things-before-diving-in">
 <h1>Section 00 - Things Before Diving In<a class="headerlink" href="#section-00-things-before-diving-in" title="Link to this heading">#</a></h1>
+<section id="packages">
+<h2>Packages<a class="headerlink" href="#packages" title="Link to this heading">#</a></h2>
+<ul class="simple">
+<li><p>numpy</p></li>
+<li><p>matplotlib</p></li>
+<li><p>pandas</p></li>
+<li><p>scikit-learn</p></li>
+<li><p>tensorflow2</p></li>
+<li><p>keras</p></li>
+</ul>
 <div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="NB_0_1.html">Section 0.1 - Mathematics for Machine Learning</a></li>
+<li class="toctree-l1"><a class="reference internal" href="NB_0_2.html">Section 0.2 - Scientific Python with NumPy, matplotlib and pandas</a></li>
+</ul>
 </div>
+</section>
 </section>
 
     <script type="text/x-thebe-config">
@@ -488,7 +513,20 @@ <h1>Section 00 - Things Before Diving In<a class="headerlink" href="#section-00-
 
 
 
-                <div class="bd-sidebar-secondary bd-toc"></div>
+                <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
+
+
+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#packages">Packages</a></li>
+</ul>
+  </nav></div>
+
+</div></div>
 
 
           </div>

_build/html/notebooks/01/01.html

@@ -445,9 +445,12 @@ <h2>Notebook 1.1 - Learning about the ML landscape<a class="headerlink" href="#n
 </section>
 <section id="notebook-1-2-end-to-end-ml-project">
 <h2>Notebook 1.2 - End-to-end ML project<a class="headerlink" href="#notebook-1-2-end-to-end-ml-project" title="Link to this heading">#</a></h2>
-</section>
 <div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="NB_1_1.html">Section 1.1</a></li>
+</ul>
 </div>
+</section>
 </section>
 
     <script type="text/x-thebe-config">