References
BANA 4080: Data Mining
Welcome
Module 1
1
Introduction
2
Setting Up Your Python Environment
3
Python Basics – Working with Data and Variables
Module 2
4
Getting Started with Jupyter Notebooks
5
Introduction to Data Structures
6
Packages, Libraries, and Modules
Module 3
7
Importing Data and Exploring Pandas DataFrames
8
Deeper Dive on DataFrames
9
Subsetting Data
Module 4
10
Manipulating Data
11
Summarizing Data
12
Relational data
Module 5
13
Intro to Data Visualization with Pandas
14
Fundamentals of Plotting with Matplotlib
15
Interactive Data Visualization with Bokeh
Module 6
16
Controlling Program Flow with Conditional Statements
17
Controlling Repetition with Iteration Statements
18
Writing Your Own Functions
Module 7
19
Introduction to Machine Learning and Artificial Intelligence
20
Before You Build: Key Considerations
Module 8
21
Correlation and Linear Regression Foundations
22
Evaluating Regression Models
Module 9
23
Introduction to Logistic Regression for Classification
24
Evaluating Classification Models
Appendix
25
Anaconda Installation
26
VS Code Installation
References
References
26
VS Code Installation