Skip to content
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Login
Sign Up
Login
Sign Up
Login
Sign Up
Home
All Programs
Computers
Languages
Python
Wrangling Data
Wrangling Data
Curriculum
5 Sections
19 Lessons
10 Weeks
Expand all sections
Collapse all sections
Chapter 12: Stretching Python’s Capabilities
4
1.1
Playing with Scikit-learn
1.2
Performing the Hashing Trick
1.3
Considering Timing and Performance
1.4
Running in Parallel on Multiple Cores
Chapter 13: Exploring Data Analysis
6
2.1
The EDA Approach
2.2
Defining Descriptive Statistics for Numeric Data
2.3
Counting for Categorical Data
2.4
Creating Applied Visualization for EDA
2.5
Understanding Correlation
2.6
Modifying Data Distributions
Chapter 14: Reducing Dimensionality
3
3.1
Understanding SVD
3.2
Performing Factor Analysis and PCA
3.3
Understanding Some Applications
Chapter 15: Clustering
3
4.1
Clustering with K-means
4.2
Performing Hierarchical Clustering
4.3
Discovering New Groups with DBScan
Chapter 16: Detecting Outliers in Data
3
5.1
Considering Outlier Detection
5.2
Examining a Simple Univariate Method
5.3
Developing a Multivariate Approach
This content is protected, please
login
and
enroll
in the course to view this content!
Login
or
Sign Up
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Cybersecurity
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Linkedin
Instagram
Modal title
Main Content
