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.ipynb_checkpoints
.ipynb_checkpoints
 
 
metastore_db
metastore_db
 
 
Classification with Pyspark V3.ipynb
Classification with Pyspark V3.ipynb
 
 
Classification with Pyspark.ipynb
Classification with Pyspark.ipynb
 
 
Exploring and visualizing data..ipynb
Exploring and visualizing data..ipynb
 
 
Feature extraction-V2.ipynb
Feature extraction-V2.ipynb
 
 
Feature extraction.ipynb
Feature extraction.ipynb
 
 
Installating apache-spark with pycharm_jupyter.ipynb
Installating apache-spark with pycharm_jupyter.ipynb
 
 
README.md
README.md
 
 
Recommendation with Pyspark.ipynb
Recommendation with Pyspark.ipynb
 
 
Regression with Pyspark.ipynb
Regression with Pyspark.ipynb
 
 
derby.log
derby.log
 
 

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PysparkNotes

Some examples of how to perform classification, regression, recommendation and data exploration with apache-pyspark with some help of pandas and scikit-learn.

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A notebook with some notes and examples about classification, regression, exploration and recommendation with apache-pyspark.

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