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- Introduction to Spark
- Using Spark in Python
- Using DataFrames
- How to create a SparkSession
- Viewing tables
- Add some Spark to your data
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- Mindmajix Technologies
- Courses
- PySpark Training
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course and certificate fees
certificate availability
Yes
certificate providing authority
Mindmajix Technologies
The syllabus
Getting started with PySpark
Data manipulation
- Create columns
- SQL overview
- Filtering Data
- Aggregating
- Grouping and Aggregating
- Joining
- Model tuning and selection
Getting to know machine learning pipelines
- Machine Learning Pipelines introduction
- Join the DataFrames
- Data types
- String to integer
- Create a new column
- Making a Boolean
- Assemble a vector
- Create the pipeline
- Data transformation
- Split the data
Model tuning and selection
- What is logistic regression and how does it work?
- Construct the modeler
- Cross-validation
- Make an evaluator.
- Create a grid.
- Create a validator.
- Complement the model (s)
- Using binary classifiers to evaluate
- Examine the model.
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