-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathprogress.php
More file actions
127 lines (110 loc) · 4.49 KB
/
progress.php
File metadata and controls
127 lines (110 loc) · 4.49 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
<?php
include_once("php/functions.php");
include_once("php/db.php");
$user_logged_in = loggedInInit();
$show_account = $user_logged_in;
$show_login = !$user_logged_in;
?>
<!DOCTYPE html>
<html lang="en">
<head>
<title>Lesson Topics | Course Site</title>
<?php include_once("php/head-links.php"); ?>
<link rel="stylesheet" href="css/progress.css?v=<?php echo rand(10,99); ?>">
<link rel="stylesheet" href="https://use.typekit.net/gds8jvm.css">
<script src="js/topic.js"></script>
</head>
<body>
<?php include_once('php/nav.php'); ?>
<div class="main-content">
<div class="title-wrapper">
<div class="title container-fluid shadow-sm">
<h1>Lesson Topics</h1>
<p class="desc">Each topic below has different lessons. Choose one to explore it</p>
</div>
</div>
<div class="topic-banner container-fluid topic-finished">
<img src="img/award-fill.svg" class="award-indicator">
<h2>Background Mathmatics</h2>
<div class="indicator-labels ib3">
<div><p>What is Machine Learning</p></div>
<div><p>Calculus and Derivatives</p></div>
<div><p>Matrix Operations</p></div>
</div>
<div class="indicator-bar ib3">
<a href="."><div class="ib-complete"><p>Review</p></div></a>
<a href="."><div class="ib-start"></div></a>
<a href="."><div class="ib-not"></div></a>
</div>
<a href="background/intro.php" class="btn btn-primary btn-sec">Review Topic</a>
</div>
<div class="topic-banner container-fluid topic-started">
<img src="img/award.svg" class="award-indicator">
<h2>General Learning Things</h2>
<p>
This lesson covers the basics of a variety of topics that are the basic building blocks of machine learning models, how they
work, and how to evaluate them.
</p>
<a href="general/gradient-descent.php" class="btn btn-primary btn-sec">Continue Topic</a>
</div>
<div class="topic-banner container-fluid">
<!-- img src="img/award.svg" class="award-indicator" -->
<!-- img src="img/award-fill.svg" class="award-indicator" -->
<div class="award-spacer"></div>
<h2>Linear Regression</h2>
<p>
As the basic learning algorithm, Linear Regression is the first machine learning model that
we will look at how it works and how the math behind it functions.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
<div class="topic-banner container-fluid">
<img src="img/award.svg" class="award-indicator">
<h2>Logistic Regression</h2>
<p>
Logistic Regression is an extension of Linear Regression that allows us to perform better for a
different set of situations than Linear Regression is used.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
</div>
<div class="topic-banner container-fluid">
<img src="img/award.svg" class="award-indicator">
<h2>Multivariate Regression</h2>
<p>
Putting more learned values into our models allows us to take advantage of more information at once. But, there are
also things to be careful about when doing it.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
<div class="topic-banner container-fluid">
<img src="img/award.svg" class="award-indicator">
<h2>Gradient Descent Variations</h2>
<p>
Many innovations in Machine Learning are improvements in how Gradient Descent is carried out. This topic covers
a few of the major methods for Gradient Descent, and their pros and cons.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
<div class="topic-banner container-fluid">
<img src="img/award.svg" class="award-indicator">
<h2>Decision Trees</h2>
<p>
While many models attempt to fit a line to points of data, Decision Trees pack data into meaningful
boxes to guide predictions and classify new data points.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
<div class="topic-banner container-fluid">
<img src="img/award.svg" class="award-indicator">
<h2>Neural Networks</h2>
<p>Neural Networks are the focus and basis for the most modern, performant models in existance today. This
topic covers how they work, and the fascinating mathmatics behind them.
</p>
<a href="general/." class="btn btn-primary btn-sec">Start Topic</a>
</div>
</div>
<!-- Footer -->
<?php include_once('php/footer.php'); ?>
</body>
</html>