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1. -time-series-forecasting-for-store-sales -time-series-forecasting-for-store-sales Public

   time series forcasting for store sales. The data comes from an Ecuador company as known as Corporación Favorita and it is a large grocery retailer. Also, the company operates in other countries in …

   Jupyter Notebook 2

2. 32-bit-pipelined-ARM-processor 32-bit-pipelined-ARM-processor Public

   The processor supports the following instructions: • Data processing instructions where the second source can be either an immediate value or a source register, with no shifts. The data processing …

   SystemVerilog

3. League-of-Legends-LoL-Match-Analysis-using-PySpark-6GB-Dataset League-of-Legends-LoL-Match-Analysis-using-PySpark-6GB-Dataset Public

   This repository contains an analysis of League of Legends (LoL) match data using PySpark. The analysis is performed on a large-scale dataset of approximately 6GB in size. The dataset includes infor…

   Jupyter Notebook

4. OS-Scheduler OS-Scheduler Public

   Part I: Process Generator (Simulation & IPC) Code File: process_generator.c The process generator should do the following tasks: • Read the input files (check the input/output section below). • Ask…

   C 1

5. Reddit-Data-Analysis-with-Hadoop-MRJob-Large-Dataset-31.6GB- Reddit-Data-Analysis-with-Hadoop-MRJob-Large-Dataset-31.6GB- Public

   Reddit Data Analysis: Analyzing a large dataset from Reddit to uncover insights about subreddits, topics, user engagement, and comment dynamics. Utilizes Python, NLTK, and MRJob for efficient data …

   Python

6. An-Analysis-of-Commercial-Flight-Patterns-in-the-USA-1987-2008-12GB-dataset-on-AWS-EMR An-Analysis-of-Commercial-Flight-Patterns-in-the-USA-1987-2008-12GB-dataset-on-AWS-EMR Public

   Analyze extensive flight arrival and departure data for all US commercial flights from Oct 1987 to Apr 2008. Identify trends, popular routes, and airline performance. Inform policy decisions, impro…

   Jupyter Notebook