| Daemen
University Machine Learning
-- CSC 401
Course Description (from the College): This course introduces
several fundamental concepts and methods for machine learning. It will
introduce a range of algorithms and techniques together with their
applications, in addition to analyzing and handling large data sets.
Several software libraries and ata sets publicly available will be used to
illustrate the application of these algorithms. (3
hours)
Prerequisite: MTH 325
Syllabus/Syllabus -- in Word format
Final
Project Directions
Homeworks
Important Dates
see the syllabus for a more detailed
calendar
Email List
can be gotten through Blackboard
Announcements:
Math Adjunct Office
My voicemail
My Daemen email: bmccall@daemen.edu
Office hours: see syllabus
Homeworks
Weekly Code Assignments
WCA #1
WCA #2
WCA #3
WCA #4
WCA #5
WCA #6
WCA #7
WCA #8
WCA #9
WCA #10
WCA #11
WCA #12
WCA #13
Package Comparison Assignments
PC #1
PC #2
PC #3
PC #4
PC #5
PC #6
Modeling Projects Directions
MP #1
MP #2
MP #3
MP #4
MP #5
MP #6
Final Project Suggestions (or
select your own)
Notes
Datasets
Categorical Data from Kaggle
Sources
Code Examples
included in lecture notes
R Tutorials:
Bar Graphs (base
R)
Boxplot
(base R)
Dotplots
(base R)
Histogram
(base R)
Normal Distribution shaded between two values
(base R)
Normal Probability Plots
(base R)
Scatterplots with Trendlines and Residual Graphs
(base R)
Handouts:
Answer
Keys
Resources
Tutorials on Advanced Stats and Machine
Learning With R
Applied
Statistics with R (textbook)
Intermediate Statistics with R (textbook)
Probability and Statistics for Engineering and the Sciences, Jay. L.
Devore, 8th ed. (textbook)
Introductory Statistics (textbook)
Practical Statistics for Data Scientists (textbook)
Online Statistics Book
(textbook)
A Little Book of Time Series Analysis for R (textbook)
A Course in Time Series Analysis (textbook/notes)
Introduction to Probability
for Data Science (textbook)
Friedman's ANOVA
Test
How to
Perform Friedman's Test in R
Kendall's Tau
Calculating Kendall's Rank Correlation in R
Introduction to Bootstrapping (Statistics by Jim)
Boostrapping in R
Tutorial on Permutation Tests in R
How to use Permuation Tests
Understanding AUC-ROC Curves
Some Packages for ROC Curves
Time
Series Analysis in R
Getting Started with Multiple Imputation in R
Basic Statistics Using R
Learning Statistics with R
Statistics with R (Table of Contents)
Stats
and R
Intro
to Hypothesis Testing in R
R-Tutorial: An R
Introduction to Statistics
Tidy
Modeling with R
R Cheatsheets
Free Web Books for Learning (Statistics) with R
Easier ggplot with ggcharts
R
Color Brewer's Palettes
Markdown Cheat Sheet
Smoothing
Cubic and Smoothing Splines in R
B-Spline Basis for Polynomial Splines
Intro to Stats in R
R Code Examples
Distance Metrics
Scaling
Methods
Comparing Distance Metrics
Optimization Algorithms in Machine Learning
Matrices in R
Covariance
Matrix
Normal
Equation
Residual
Analysis
Regression Metrics
Penalty Functions in Regression
Optimizing Penalized Regression in R
Penalized Regression in R
Gaussian Process
Regression
Variable Selection Methods
Ensemble Methods
Ensemble Models with R
Curves and Splines
Basis
Expansion and Splines
Distance Metrics in KNN
Tie Breaking Methods in KNN
KNN for classification or regression
Decision Tree Splitting Methods
Splitting
Criteria
Decision Tree Ensemble Methods
Agglomerative Clustering
Principal
Component Analysis in R
Principal
Component Regression
Factor Analysis
K-Means
Spectral Clustering
Natural
Language Processing
Simple
Neural Network
Time Series in R
R Project
R Studio
Anaconda
Using R with Anaconda
Links!
PDF Graph Paper
Bad Graphs (Convention Speeches)
Visualizing Data Badly: 8 Examples
Correlation is not Causation:
orginal article /
handout
Presidents by State
TI-Connect Software
How much people lie on surveys
On the Hazards of Significance
Testing
Exploring Correlation and Regression
Central Limit Theorem: with Bunnies and Dragons
SOCR: Statistics Online Computational
Resources
How Many Ways Can You Arrange a Deck of Cards?
Free Online Math
Courses
Confidence
Interval for Rho
Free Courses from Coursera
Coding
R Tutorials
MTH 324/MTH
325
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