Update README.md

Signed-off-by: pelinkeskin <86728061+pelinkeskin@users.noreply.github.com>

DatawareHousing_AssociationRule_Mining/README.md

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-### Analysing Books with Hadoop & Data Exploration with PySpark
-This is a combination of two projects I made for one of my modules during my Masters to gain practical experience in using big data management tools, Hadoop and Spark. To complete Hadoop tasks, I loaded three books to HDFS and wrote map-reduce tasks with Python to analyze books. To complete PySpark tasks, I analyzed the wordle game dataset extracted from Twitter  by utilizing a sparks multiprocessing framework with RDDs and Dataframes. 
+### Designing a Data Warehouse & Association Rule Mining using SQL and Python
+I completed these tasks as part of an assignment in one of my modules during my Masters. This folder contains two notebooks; In Data_Warehousing_practice.ipynb I created a database and made a set of OLAP queries to explore the data. Then I defined a fact constellation schema diagram for the data warehouse with facts, dimensions, and measures and addressed steps for specific OLAP operations to perform  to answer a particular query. Then use PostgreSQL Python and its libraries and define a set of functions to operate the data warehouse. In Association_Rule_Mining_Practice.ipynb,  I cleaned and transformed an online retail dataset for association rule mining, then mined association rules using Apriori and FP-growth algorithms.