VR SCHOOL
ONLINE
Nexus Home
Course Catalog
Meta-Campus
Status
Enter The Nexus
Home
Courses
Wrangling Data
Curriculum
5 Sections
20 Lessons
10 Weeks
Expand all sections
Collapse all sections
Chapter 12: Stretching Python’s Capabilities
4
1.1
Playing with Scikit-learn
10 mins
1.2
Using Transformative Functions
10 mins
1.3
Considering Timing and Performance
10 mins
1.4
Running in Parallel on Multiple Cores
10 mins
Chapter 13: Exploring Data Analysis
7
2.1
The EDA Approach
10 mins
2.2
Defining Descriptive Statistics for Numeric Data
10 mins
2.3
Counting for Categorical Data
10 mins
2.4
Creating Applied Visualization for EDA
10 mins
2.5
Understanding Correlation
10 mins
2.6
Working with Cramér’s V
10 mins
2.7
Modifying Data Distributions
10 mins
Chapter 14: Reducing Dimensionality
3
3.1
Understanding SVD
10 mins
3.2
Performing Factor Analysis and PCA
10 mins
3.3
Understanding Some Applications
10 mins
Chapter 15: Clustering
3
4.1
Clustering with K-means
10 mins
4.2
Performing Hierarchical Clustering
10 mins
4.3
Discovering New Groups with DBScan
10 mins
Chapter 16: Detecting Outliers in Data
3
5.1
Considering Outlier Detection
10 mins
5.2
Examining a Simple Univariate Method
10 mins
5.3
Developing a Multivariate Approach
10 mins
This content is protected, please
login
and
enroll
in the course to view this content!
Modal title
Main Content