NatashiaKaurRaina /
Introduction-to-Quantum-Computing-Course-by-Natashia-Kaur-Raina
This repository consists all the slide, jupyter notebooks, assignments and projects covered in my Introduction to Quantum Computing course on Youtube.
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abdulrehmanwaseem / repository
My assignments and projects from the Artificial Intelligence & Data Science Program at Saylani Mass IT Training (SMIT). This repository documents my learning journey, with Jupyter notebooks covering Python, AI, ML, and Data Science concepts.
This repository contains my assignments, notebooks, and projects from the Artificial Intelligence & Data Science Program at Saylani Mass IT Training (SMIT).
Each assignment is organized in Jupyter Notebook (.ipynb) format with clear explanations, code, and outputs. The goal of this repo is to track my learning journey and share my progress in AI & Data Science.
Assignment_01.ipynb
Assignment_02.ipynb
Assignment_03.ipynb
Throughout this program, I’ll be working on concepts including:
The Artificial Intelligence & Data Science Program is a comprehensive training course by Saylani Welfare International Trust, aimed at preparing students for the future of AI and technology.
More details: SMIT
Abdul Rehman
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NatashiaKaurRaina /
This repository consists all the slide, jupyter notebooks, assignments and projects covered in my Introduction to Quantum Computing course on Youtube.
oktober13 /
Here are stored some of my solutions to programming homework assignments in Python. The code is organized by topics and presented in Google Colab and Jupyter Notebook formats.
This repository have all my jupyter notebooks for assignments and projects for Data Insight certification
DeeptanshuM /
Jupyter notebook for my Hypothesis Testing project and other assignments from Coursera Introduction to Data Science class
arshiammz /
My Data Mining course repository, including homework assignments, projects, Jupyter notebooks, and data analysis exercises.
AbhayShihora /
A collection of my MCA Python coursework, including fundamentals, object-oriented programming, problem-solving, assignments, Jupyter notebooks, and practical exercises completed throughout my learning journey.