This repository consolidates all essential resources for the NLP subject from the SPPU 2019 pattern. It includes previous year question papers with solutions, implementation codes, assignment handouts, and comprehensive write-ups organized to help students grasp fundamental NLP concepts, language modeling, morphology, syntax, semantics, and real-world applications. It serves as a one-stop reference for exam preparation, project work, and practical coding practice in natural language processing.
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Programs to keep Docker login credentials safe by storing in platform keystores
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Mirror of Betterfox @ https://github.com/yokoffing/Betterfox
anti-tracking
firefox
gecko
mozilla
performance
privacy
security
settings
speed
tracking
web-browser
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Mirror of arkenfox-user.js @ https://github.com/arkenfox/user.js
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This repository compiles comprehensive resources for the Business Intelligence (BI) course from the SPPU 2019 pattern. It includes PYQs with solutions, codes, viva questions, assignment handouts, write-ups, datasets, and notes covering data warehousing, OLAP, data preprocessing, ML applications, and BI in marketing, logistics, finance, and telecom. Use it to study concepts, test yourself with past questions, and build practical BI implementations aligned with course outcomes!
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This repository compiles essential resources for the SPPU Computer Engineering Parallel Computing course (2019 pattern). It features PYQs with detailed solutions, code implementations, assignment handouts, write-ups, and notes on parallel paradigms, algorithm design, data communication, CUDA architecture, performance analysis, and HPC applications. Perfect for mastering course outcomes, exam preparation, projects, and hands-on learning.
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This repository gathers comprehensive material for the SPPU Computer Engineering Deep Learning course (2019 pattern). It includes PYQs with solutions, codes, assignment handouts, write-ups, and explanatory notes to reinforce theory and practice in neural networks, CNNs, RNNs, deep generative models, and reinforcement learning. Ideal for exam prep, project work, and self-study, it provides structured, ready-to-use resources aligned with course outcomes and objectives.
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Explore comprehensive resources for Mathematics Three (M3) under the 2019 SPPU syllabus in our Git repository. Access detailed notes, assignment write-ups, and study materials covering Linear Differential Equations, Transforms including Fourier and Z-transforms, Statistics encompassing measures of central tendency and probability distributions, and Numerical Methods including interpolation and solution techniques for differential equations.
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This repository contains vital resources for the Machine Learning course under the SPPU Computer Engineering syllabus (2019 pattern). It includes codes, handouts, notes, previous year questions (PYQs), and write-ups for assignments. The materials focus on understanding the need for machine learning, data pre-processing methods, classification techniques, multi-class classifiers, clustering algorithms, and fundamental neural network algorithms, equipping students to tackle real-time applications effectively.
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This repository contains essential resources for the Information Retrieval course under the SPPU Computer Engineering syllabus (2019 pattern). It includes codes, handouts, notes, previous year questions (PYQs), and write-ups for assignments. The materials cover fundamental concepts of information retrieval, indexing techniques, performance analysis using classification, clustering, and filtering, as well as evaluation methods. Students will also explore parallel information retrieval and the transition from basic systems to large-scale search services.
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This repository contains valuable resources for the Design and Analysis of Algorithms course under the SPPU Computer Engineering syllabus (2019 pattern). It includes codes, handouts, notes, previous year questions (PYQs), and write-ups for assignments. The materials focus on developing problem-solving abilities, applying algorithmic strategies, analyzing performance, and creating efficient algorithms. Students will explore algorithmic examples in distributed and concurrent environments, enhancing their understanding of multithreaded and distributed algorithms.
algorithm-analysis
algorithm-design
be
computerengineering
daa
designandanalysisofalgorithms
engineering
fourth-year
sem-7
sppu
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This repository contains essential resources for the Cyber Security and Digital Forensics course under the SPPU Computer Engineering syllabus (2019 pattern). It includes codes, handouts, notes, previous year questions (PYQs), and write-ups for assignments. The materials focus on enhancing awareness of cyber forensics, understanding cyber crime issues, evidence collection methods, and applying digital forensic knowledge. Students will gain insights into protecting against cyber-attacks and generating legal evidence for investigations.
be
computerengineering
csdf
cyber-security
cybersecurityanddigitalforensics
digital-forensics
engineering
fourth-year
sem-7
sppu
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This repository contains comprehensive resources for the Blockchain Technology course under the SPPU Computer Engineering syllabus (2019 pattern). It includes codes, handouts, notes, previous year questions (PYQs), and write-ups for assignments. The materials cover key topics such as blockchain fundamentals, cryptocurrency, smart contracts, consensus algorithms, and real-world applications. Additionally, it provides insights into the Ethereum platform using Solidity, enabling students to analyze and implement blockchain solutions effectively.
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