PysparkNotes

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

Name		Name	Last commit message	Last commit date
.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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