A machine learning model is built using PySpark's MLlib library to automatically flag suspicious job postings on Indeed.com. The dataset includes 18,000 job descriptions, out of which about 800 are fake.
Writing dummy snippets of code to read, manipulate, and build a simple ML model with PySpark.
Given a set of documents and the minimum required similarity threshold find the number of document pairs that exceed the threshold
This notebook contains detailed code for spark and machine learning and databricks
A laboratory to carry out experiments with PySpark
An ETL pipeline for I94 immigration, global land temperatures and US demographics datasets is created to form an analytics database on immigration events. A data model is established with pandas and pyspark to find patterns of immigration to the United States.
Trying best case apache spark working environment for robust data pipelines
An academic project carried out for the Distributed Data Analysis and Mining course (a. y. 2022/2023)
MapReduce Job Development, RDDs Programming, Medical Data Management, Sales Analysis, And Efficient Data Integration For Big Data Analysis. Spark: Big Data Processing, SQOOP Integration, And Spark Structured Streaming For Real-Time Data.
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
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