rohanmistry231

A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.

A complete course on AI and machine learning, featuring Python-based tutorials, projects, and datasets covering algorithms, neural networks, and real-world applications. Designed for beginners to advanced learners, with hands-on exercises in Scikit-learn, TensorFlow, and PyTorch.

A collection of handwritten notes for BTech Computer Science Engineering, covering subjects like algorithms, data structures, databases, and programming. Organized for easy reference, these notes aid students in exam preparation and concept revision.

A curated collection of books, summaries, and resources focused on artificial intelligence and machine learning, covering algorithms, deep learning, and practical applications. Designed to support learners and professionals in mastering AI/ML concepts with recommended readings and notes.

A 50-day challenge repository featuring Python implementations of data structures and algorithms, with daily coding exercises and detailed explanations. Covers arrays, linked lists, trees, sorting, and more to enhance problem-solving skills for coding interviews.

A comprehensive learning resource for machine learning, featuring Python-based tutorials, projects, and datasets on supervised, unsupervised, and deep learning techniques. Covers Scikit-learn, TensorFlow, and real-world applications for mastering ML concepts and deployment.

A comprehensive collection of tutorials, projects, and resources for mastering DevOps practices, covering CI/CD, containerization, and infrastructure as code. Includes hands-on examples with tools like Docker, Kubernetes, and Jenkins for building automated workflows.

A comprehensive resource hub for learning serverless computing, featuring tutorials, projects, and examples using AWS Lambda, Azure Functions, and other cloud platforms. Includes hands-on exercises to build and deploy serverless applications with minimal infrastructure management.

A comprehensive collection of Python implementations for data structures and algorithms, featuring detailed explanations and coding examples. Covers arrays, linked lists, trees, sorting, and searching techniques for learning and interview preparation.

A comprehensive resource for learning Git version control, featuring tutorials, practical examples, and workflows for effective code management. Covers branching, merging, rebasing, and collaboration techniques for developers of all levels.

A curated collection of tutorials, projects, and resources for learning data science, covering Python, statistics, machine learning, and data visualization. Includes hands-on exercises and datasets to build practical skills for aspiring data scientists.

A curated collection of tutorials, projects, and resources for learning web development, covering HTML, CSS, JavaScript, and modern frameworks like React. Includes practical exercises and code examples to build hands-on skills for beginners and intermediate developers.

A Node.js and Express backend for a Udemy course tracking platform, providing RESTful APIs to manage user progress, courses, and authentication with MongoDB. Ensures secure data handling and seamless integration with a frontend for monitoring learning activities.

The CSE-Aptitude-Test-Practice repository contains practice questions with solutions for aptitude tests, covering Quantitative, Logical, Verbal, Data Interpretation, Abstract Reasoning, and Technical topics, tailored for AI/ML roles.

A curated collection of resources, exercises, and tutorials for mastering English grammar, designed for learners at all levels. Includes worksheets, quizzes, and guides covering syntax, punctuation, and sentence structure for effective learning.

A personal portfolio website showcasing projects, skills, and achievements, built with React and styled with Tailwind CSS for a modern, responsive design. Highlights technical expertise in web development, data science, and machine learning through interactive project displays.

A comprehensive guide to machine learning with Python, covering algorithms, model training, and real-world deployment using frameworks like Scikit-learn and Flask. Includes end-to-end projects with datasets and tutorials for building and deploying ML applications.

A comprehensive learning resource for data analytics, covering Python, SQL, statistics, and advanced visualization techniques with hands-on projects and datasets. Guides learners from foundational concepts to advanced methods like predictive modeling and dashboard creation.

A comprehensive collection of course materials for learning full-stack data science and machine learning, covering Python, SQL, web development, and ML algorithms. Includes tutorials, datasets, and projects to build end-to-end data-driven applications from scratch.

https://github.com/rohanmistry231/Github-Actions-Learning-Material.git

A comprehensive repository of PyTorch tutorials, projects, and examples to master deep learning concepts and model implementation. Covers neural networks, computer vision, and NLP with hands-on code and detailed explanations for learners.

A comprehensive learning resource for mastering YAML, JSON, and JSONPath, featuring tutorials, examples, and practical exercises for data serialization and querying. Designed for beginners to advanced users, it covers syntax, validation, and real-world applications.

A Python-based project demonstrating integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for enhanced AI-driven applications. Includes code examples and tutorials for leveraging APIs and RAG techniques to build intelligent systems.

A Python-based tool leveraging AI to generate multiple-choice questions (MCQs) and answers from provided text or datasets. Utilizes NLP libraries and Flask to create an interactive web interface for educational content creation.

A focused resource for mastering CSS3, featuring practice problems, code examples, and interview-oriented concepts like flexbox, grid, and animations. Designed to help developers excel in web development interviews with practical exercises and tutorials.

A Python-based web application for converting Jupyter Notebook (.ipynb) files to Python (.py) scripts with a user-friendly interface. Built with Flask, it supports batch conversions and preserves code structure for seamless transitions.

A comprehensive resource for mastering HTML5, featuring practice problems, code examples, and interview-focused concepts like semantic markup and accessibility. Designed to help developers excel in web development interviews with practical exercises and tutorials.

Description A Python-based web application for analyzing sentiment in movie reviews using NLP techniques and machine learning models. Built with Flask and libraries like NLTK or TextBlob, it provides a user-friendly interface for sentiment classification.