Trying best case apache spark working environment for robust data pipelines
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Updated
Apr 1, 2023 - Python
Trying best case apache spark working environment for robust data pipelines
Treat Spark like pandas.
The current assignment is to write the python scripts for Apache Spark. The tasks are divided into three parts as below: WordCount-To count the occurrences of words in a book on a per-book basis and compare the results with those of Assignment1. pyspark.ml. feature- To count the tf-idf values for the unigram and bigrams using the pyspark.ml.feat…
Pyspark Codes for Machine Learning and Big Data
This is the repo for NLP related tasks for Error and Design issue extraction from the corpus
Capstone Project for Galvanize: Data Science Immersive
Machine Learning Task implemented in PySpark to parallelise K-Fold Cross Validation
Recommendation engine using Apache Spark (PySpark) and Python using network theory
A UDF to evaluate Spark-MLlib classification model using PySpark
`databricks-utils` is a python package that provide several utility classes/func that improve ease-of-use in databricks notebook.
Monitor the load on a Spark cluster and perform different types of profiling
Advanced Topics Databases, NTUA 2019-2020
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