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Data processing and Analytics :
Data processing and analytics: As a part of Academic project in Data processing and Analytics Task was to design and implement databases for Real-World scenario and perform data analytics on given datasets. Developed and ER(Entity-Relation) model and Translate into an equivalent set of relations including the identification of Primary and foreign keys. Implemented the above entities in SQL , MongoDB and Neo4J by identifying the type of data structure (SQL - Structured Data, MongoDB - Unstructured data and Documents, Neo4J - Semi-structured, Graph datatype) Designed 5 real-world use cases for each Database Technology and implement those using queries . For part of analysis one dataset(out of 3) was used to perform tasks such as defining training and test set, application of two classification algorithms and comparing their performance, Apply Principal Component analysis(PCA) and how it affects the percentage of variance covered, Application of feature selection algorithms, Discussi...
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