Encoding
Data Analysis Frameworks
Key Technologies for Big Data
Implementing Machine Learning for Customer Retention
Identifying Opportunities with Machine Learning
Data Transformation
Analysis Framework
Building Predictive Models for Success
Adjustments 
This may include: Normalization of data ranges Aggregation of data for summarization
Encoding categorical variables 3
...
Data Analysis Frameworks This may include: Normalizing or scaling numerical values
Encoding categorical variables Aggregating data for summary statistics 4
...
Key Technologies for Big Data Data Encryption The process of
encoding data to prevent unauthorized access
...
Implementing Machine Learning for Customer Retention Data Transformation: Convert raw data into a suitable format for analysis, including normalization and
encoding categorical variables
...
Identifying Opportunities with Machine Learning This may involve: Handling missing values Normalizing data
Encoding categorical variables 2
...
Data Transformation Data
Encoding Transforming categorical data into a numerical format
...
Analysis Framework Removing duplicates, correcting errors, and handling missing values Data Transformation: Normalizing, aggregating, or
encoding data to make it suitable for analysis Data Integration: Combining data from different sources to create a comprehensive dataset 3
...
Building Predictive Models for Success the data for analysis through: Cleaning (removing duplicates, handling missing values) Transforming (normalizing,
encoding categorical variables) Feature Selection (identifying the most relevant variables) 3
...
Data Protocols RESTful APIs, SOAP Data Format Protocols Standards for structuring and
encoding data
...
Creating Predictive Models with Machine Learning This process includes: Handling missing values Removing duplicates Normalizing data
Encoding categorical variables 3
...
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