dr-mushtaq/hussain0048

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dr-mushtaq/hussain0048

dr-mushtaq

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Machine-Learning

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

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Deep-Learning

This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

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Computer-Vision-

This repository is related to all about Computer Vision - an A-Z guide to the world of Computer Vision. This supplement contains the implementation of algorithms, statistical methods, and techniques (in Python)

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Natural-language-processing

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

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Python-Notes

This repository is related to all about Python - an A-Z guide to the world of Data Science. This supplement contains the implementation of Python from Basic to advance level. Follow Coursesteach for more content 😊

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Projects

This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects

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C-Plus-Plus

This repository is a related to all about C++ - an A-Z guide to the world of C++. This supplement contains the implementation of C++ topic (in Colab). Follow Coursesteach for more content

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Research-Work

The A-Z Guide to Research Work is designed to provide researchers, academics, and enthusiasts with a roadmap for conducting research and implementing findings in Python. Whether you're a novice researcher looking to learn the ropes or an experienced practitioner seeking to expand your skill set, this repository offers a wealth of resources to suppo

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Extraneous-comment-management-ECM-in-e-learning

Chatbots employed in learning systems are beneficial for a variety of objectives. They can respond to pertinent or inconsequential inquiries of students, direct the student's inquiry to the applicable department, and swiftly provide applicable information and decrease work load of instructor by reply to irrelevant student queries.

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