rohanmistry231's Repositories

100 repositories

100-days-of-machine-learning
No description
⭐ 21 🌐 Public
100-days-of-python-programming
No description
⭐ 21 🌐 Public
19-Gen-AI-Projects
A collection of 19 generative AI projects in Python, showcasing applications in text generation, image synthesis, and chatbots using frameworks like Transformers and PyTorch. Includes datasets, code, and tutorials for building and deploying cutting-edge AI models.
⭐ 26 🌐 Public
50-Days-of-DSA-in-Python
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.
⭐ 34 🌐 Public
500-AI-Agents-Projects
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
⭐ 13 🌐 Public
ai-mind-playground
Analyze how you use AI—this Next.js app scores your prompts for brain growth vs dependency using Gemini and local heuristics.
⭐ 1 🌐 Public
AI-ML-Books
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.
⭐ 35 🌐 Public
AI-Powered-MCQ-QA-Generator
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.
⭐ 13 🌐 Public
AI-Wallpapers-Backend
A Node.js and Express backend for an AI-powered wallpaper generation platform, providing APIs for image processing, user management, and storage with MongoDB. Integrates with AI models to generate and serve custom wallpapers, ensuring scalability and secure data handling.
⭐ 27 🌐 Public
AI-Wallpapers-Frontend
A React-based frontend for an AI-powered wallpaper generation platform, offering a responsive interface to browse, customize, and download AI-generated wallpapers. Built with TypeScript and Tailwind CSS, it integrates seamlessly with a Node.js backend for dynamic content delivery.
⭐ 25 🌐 Public
AI-WebStudio
A full-stack web application leveraging AI to create dynamic, personalized web content, built with React for the frontend and Node.js with MongoDB for the backend. Features AI-driven content generation and a responsive interface for seamless user experiences.
⭐ 23 🌐 Public
Applied-NLP-Material
No description
⭐ 23 🌐 Public
Artificial-Intelligence-Machine-Learning-Full-Course
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.
⭐ 38 🌐 Public
awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
⭐ 14 🌐 Public
Btech-CSE-Handwritten-Notes
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.
⭐ 36 🌐 Public
Business-World-Roadmaps
Your ultimate guide to mastering business in 2025! This repository contains 10 structured roadmaps for high schoolers to become job-ready in Entrepreneurship, Leadership, Finance, Marketing, Sales, Supply Chain, HR, Global Trade, Product Management, and Strategy.
⭐ 3 🌐 Public
Complete-Machine-Learning-With-Real-World-Deployment
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.
⭐ 29 🌐 Public
Computer-Vision-Interview-Preparation
A comprehensive resource for mastering computer vision, featuring practice problems, code examples, and interview-focused concepts using Python and OpenCV. Covers image processing, object detection, and deep learning models for technical interview success.
⭐ 16 🌐 Public
Computer-Vision-Projects-01
All Computer Vision Projects - Beginner to Advanced
⭐ 13 🌐 Public
Computer-Vision-Projects-02
Check out my Computer Vision Repository for projects showcasing advanced image processing techniques like object detection, image stitching, and segmentation using Python and OpenCV. Whether you're a researcher, developer, or enthusiast, you'll find comprehensive insights and practical implementations to advance your computer vision skills.
⭐ 13 🌐 Public
CRUD-in-React-JS
A React-based application demonstrating CRUD (Create, Read, Update, Delete) operations with a simple user interface for managing data entries. Utilizes React hooks and local storage for seamless data manipulation and persistence in a frontend environment.
⭐ 33 🌐 Public
CSE-Aptitude-Test-Practice-Hub
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.
⭐ 19 🌐 Public
CSS3-Interview-Preparation
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.
⭐ 13 🌐 Public
Customer-Churn-Analysis-and-Classification
A Python-based project for analyzing customer churn using data visualization and machine learning models to predict churn probability. Employs libraries like Pandas, Scikit-learn, and Matplotlib for data preprocessing, model training, and insightful visualizations.
⭐ 39 🌐 Public
Data-Analytics-Masters-From-Basic-to-Advanced
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.
⭐ 29 🌐 Public
Data-Science-Interview-Courses-Materials
A curated collection of resources, notes, and practice materials for preparing for data science interviews, covering algorithms, statistics, and machine learning concepts. Includes coding exercises, cheat sheets, and reference guides to aid in mastering technical interviews.
⭐ 24 🌐 Public
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
⭐ 22 🌐 Public
Data-Science-Learning
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.
⭐ 33 🌐 Public
DataAnalysisProjects
This contains data analysis projects
⭐ 13 🌐 Public
Deep-Learning-Projects
A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.
⭐ 39 🌐 Public
Deep-Learning-v2-PyTorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
⭐ 13 🌐 Public
DevOps-Learning
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.
⭐ 35 🌐 Public
DevOps-Masterclass-Terraform-Kubernetes-Ansible-Docker
A comprehensive learning resource for DevOps, featuring tutorials and projects on Terraform, Kubernetes, Ansible, and Docker for infrastructure automation and deployment. Includes hands-on examples and best practices for building scalable, automated CI/CD pipelines.
⭐ 25 🌐 Public
DL-Interview-Preparation
A comprehensive resource for mastering deep learning, featuring practice problems, code examples, and interview-focused concepts in Python using TensorFlow and PyTorch. Covers neural networks, model optimization, and advanced architectures for technical interview success.
⭐ 22 🌐 Public
Docker-Interview-Preparation
A focused resource for mastering Docker, featuring practice problems, examples, and interview-oriented concepts for containerization and deployment. Covers Docker images, containers, networking, and orchestration for excelling in DevOps interviews.
⭐ 10 🌐 Public
DSA-in-Python
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.
⭐ 32 🌐 Public
DSA-Interview-Preparation
A comprehensive resource for mastering data structures and algorithms, featuring Python-based coding challenges, solutions, and interview-focused concepts. Covers arrays, linked lists, trees, sorting, and searching with detailed explanations for technical interviews.
⭐ 15 🌐 Public
Ecommerce-Project
A full-stack ecommerce platform built with React and Node.js, enabling users to browse products, manage carts, and process payments securely. Features a responsive frontend and a robust backend with MongoDB for seamless online shopping experiences.
⭐ 32 🌐 Public
End-to-End-GenAI-Course-2025-CampusX
No description
⭐ 22 🌐 Public
English-Grammer-Course-Materials
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.
⭐ 27 🌐 Public
event-feast-flow
No description
⭐ 14 🌐 Public
Excel-Interview-Preparation
Comprehensive Excel guide for interview success, covering formulas, VBA, Power Query, dashboards, and more. Practical examples and tips for data roles.
⭐ 2 🌐 Public
Exploratory-Data-Analysis-and-Feature-Engineering
A Python-based repository for mastering exploratory data analysis (EDA) and feature engineering, using libraries like Pandas, Seaborn, and Scikit-learn. Includes practical examples, datasets, and techniques for data visualization, cleaning, and feature optimization.
⭐ 32 🌐 Public
Fast-API-Interview-Preparation
A targeted resource for mastering FastAPI, featuring practice problems, code examples, and interview-focused concepts for building high-performance APIs in Python. Covers asynchronous programming, endpoint creation, and data validation for technical interview success.
⭐ 19 🌐 Public
FastAPI-Learning
No description
⭐ 13 🌐 Public
Full-Stack-Data-Science-Machine-Learning-Course-Material
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.
⭐ 29 🌐 Public
Generative-Ai-Applications-With-Python_Material
No description
⭐ 23 🌐 Public
Generative-AI-Indepth-Basic-to-Advance
No description
⭐ 9 🌐 Public
Geodata-Processing-using-Python-and-Machine-Learning
A Python-based project for processing and analyzing geospatial data using machine learning techniques, leveraging libraries like GeoPandas, Scikit-learn, and Folium. Includes examples for spatial analysis, visualization, and predictive modeling with real-world geographic datasets.
⭐ 25 🌐 Public
Git-Version-Control
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.
⭐ 34 🌐 Public
Github-Actions-Interview-Preparation
A focused resource for mastering GitHub Actions, featuring practice workflows, examples, and interview-oriented CI/CD concepts for automation. Covers pipeline creation, triggers, and optimization techniques for excelling in DevOps interviews.
⭐ 10 🌐 Public
Github-Actions-Learning-Material
https://github.com/rohanmistry231/Github-Actions-Learning-Material.git
⭐ 27 🌐 Public
Habit-Tracker-Backend
A Node.js and Express backend for a habit-tracking application, providing RESTful APIs to manage user habits, authentication, and data storage with MongoDB. Ensures secure user sessions and seamless integration with a React frontend for tracking and analyzing daily habits.
⭐ 13 🌐 Public
Habit-Tracker-Frontend
A React-based frontend for a habit-tracking application, enabling users to manage and visualize their daily habits with a responsive, intuitive interface. Built with TypeScript and Tailwind CSS, it integrates seamlessly with a backend to track progress and set goals.
⭐ 34 🌐 Public
Html-to-Ipynb-Converter
A Streamlit app to convert JupyterLab HTML exports to editable .ipynb notebooks, perfect for data science students and professionals.
⭐ 3 🌐 Public
HTML5-Interview-Preparation
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.
⭐ 13 🌐 Public
Hugging-Face-with-Python-Interview-Preparation
A targeted resource for mastering Hugging Face libraries in Python, featuring practice problems, code examples, and interview-focused NLP concepts. Covers model fine-tuning, tokenization, and deployment for excelling in AI and data science interviews.
⭐ 13 🌐 Public
ipynb-to-py-converter-app
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.
⭐ 13 🌐 Public
irohanportfolio
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.
⭐ 32 🌐 Public
JavaScript-Interview-Preparation
A comprehensive resource for mastering JavaScript, featuring coding challenges, solutions, and tutorials on core concepts like closures, promises, and DOM manipulation. Designed to help developers excel in technical interviews with practical exercises and explanations.
⭐ 14 🌐 Public
Keras-Interview-Preparation
A focused resource for mastering Keras, featuring practice problems, code examples, and interview-oriented deep learning concepts in Python. Covers neural network design, model training, and optimization techniques for technical interview success.
⭐ 12 🌐 Public
langchain-chains
Codes related to my LangChain playlist
⭐ 13 🌐 Public
langchain-document-loaders
Codes related to my LangChain playlist
⭐ 13 🌐 Public
langchain-extra-modules
A collection of advanced LangChain modules and utilities in Python, enhancing LLM applications with custom tools, memory management, and RAG integrations. Includes code examples and tutorials for building sophisticated AI-driven workflows and applications.
⭐ 10 🌐 Public
Langchain-Interview-Preparation
A targeted resource for mastering LangChain, featuring practice problems, code examples, and interview-focused concepts for building AI applications with Python. Covers chaining LLMs, memory management, and tool integration for technical interview success.
⭐ 25 🌐 Public
langchain-models
Codes related to the model component in LangChain
⭐ 13 🌐 Public
langchain-output-parsers
Codes related to my LangChain playlist
⭐ 13 🌐 Public
langchain-prompts
Code related to my LangChain playlist
⭐ 13 🌐 Public
langchain-runnables
codes related to my langchain playlist
⭐ 13 🌐 Public
langchain-structured-output
Codes related to my LangChain playlist
⭐ 13 🌐 Public
langchain-text-splitters
Code related to my LangChain playlist
⭐ 13 🌐 Public
langgraph
No description
⭐ 13 🌐 Public
langgraph-end-to-end
No description
⭐ 13 🌐 Public
LangGraphProjects
This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
⭐ 13 🌐 Public
LeetCode-Solution-Hub-AI-ML-DSA
Comprehensive LeetCode solutions hub with detailed reasoning and best-practice code in Python, JavaScript, and Java, organized by DSA topics. Perfect for CSE students and professionals preparing for technical interviews! 🚀
⭐ 2 🌐 Public
LLM-Agents
No description
⭐ 13 🌐 Public
LLM-API-and-RAG-Intergration-with-Python
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.
⭐ 14 🌐 Public
Machine-Learning-Algorithms-From-Scratch
Python implementations of core machine learning algorithms from scratch using only NumPy, covering supervised and unsupervised methods with Jupyter notebooks for learning.
⭐ 3 🌐 Public
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
⭐ 22 🌐 Public
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
⭐ 22 🌐 Public
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
⭐ 22 🌐 Public
Machine-Learning-Projects
A collection of machine learning projects in Python, showcasing algorithms for classification, regression, and clustering using libraries like Scikit-learn and Pandas. Includes datasets, code, and tutorials for practical applications in data analysis and predictive modeling.
⭐ 29 🌐 Public
Machine-Learning-Specialization
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.
⭐ 35 🌐 Public
Mathematics-for-Machine-Learning-Books
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.
⭐ 37 🌐 Public
Matplotlib-Interview-Preparation
A focused resource for mastering Matplotlib, featuring practice problems, code examples, and interview-oriented data visualization techniques in Python. Covers plotting, customization, and advanced visualization for excelling in data science interviews.
⭐ 15 🌐 Public
Medium-Blogs-Categorization-Website-Backend
A Node.js and Express backend for a blog categorization platform, providing APIs to manage, categorize, and retrieve Medium blog posts with MongoDB storage. Supports user authentication and efficient data processing for seamless integration with a frontend interface.
⭐ 23 🌐 Public
Medium-Blogs-Categorization-Website-Frontend
A React-based frontend for a blog categorization platform, offering a responsive interface to browse and organize Medium blog posts. Built with TypeScript and Tailwind CSS, it integrates with a Node.js backend for seamless content management.
⭐ 23 🌐 Public
mind-garden-scapes
No description
⭐ 14 🌐 Public
ML-Interview-Preparation
A comprehensive resource for machine learning interview preparation, featuring coding challenges, algorithm explanations, and practical Python examples. Covers supervised and unsupervised learning, model evaluation, and data preprocessing for technical interviews.
⭐ 24 🌐 Public
ML-Interview-Preparation-Hub
A curated collection of resources, notes, and practice problems for mastering machine learning concepts and acing technical interviews. Covers algorithms, coding challenges, and theoretical questions with Python examples and detailed explanations.
⭐ 23 🌐 Public
MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
⭐ 22 🌐 Public
Mock-Interview-Preparation-for-CSE
Comprehensive resource for CSE interview preparation, featuring structured Markdown guides on self-introductions, technical topics, behavioral questions, and mock scenarios. Boost your confidence and ace your next tech interview! 🚀
⭐ 2 🌐 Public
Movie-Sentiment-Analysis-App
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.
⭐ 10 🌐 Public
Multi-Disease-Prediction-and-Health-Recommendation-System
A Python-based machine learning system for predicting multiple diseases using patient data and providing personalized health recommendations. Utilizes Scikit-learn, Pandas, and Flask to deliver accurate predictions and user-friendly web-based interactions.
⭐ 13 🌐 Public
NLP-Interview-Preparation
A targeted resource for mastering NLP, featuring practice problems, code examples, and interview-focused concepts using libraries like NLTK, SpaCy, and Transformers. Covers text processing, sentiment analysis, and model fine-tuning for technical interview success.
⭐ 14 🌐 Public
NLP-Learning
Tutorials For Beginners For Natural Language Processing
⭐ 13 🌐 Public
NLP-Projects-01
A collection of Python-based NLP projects exploring text processing, sentiment analysis, and language modeling using libraries like NLTK, SpaCy, and Transformers. Includes hands-on implementations with datasets and tutorials for building and evaluating NLP models.
⭐ 22 🌐 Public
NLP-Projects-02
Natural Language Processing (NLP) mini projects and implementations.
⭐ 13 🌐 Public
Node-Js-Interview-Preparation
A comprehensive resource for mastering Node.js, featuring practice problems, code examples, and interview-focused concepts like asynchronous programming and Express. Covers API development, middleware, and event-driven architecture for technical interview success.
⭐ 14 🌐 Public
Numpy-Interview-Preparation
A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.
⭐ 14 🌐 Public