abhipatel35
Enthusiastic code conjurer passionate about turning lines of logic into impactful solutions. Constantly evolving, one commits at a time.
MCS, Arizona State UniversityTempe, Arizona, United States
Pinned Repositories
abhipatel35.github.io
Accommodation-and-Roommate-Finder
A user-centered design project focusing on a seamless experience for apartment searches and roommate matching. The platform enhances usability and accessibility through wireframes, prototypes, and usability testing.
Advance-Java
ai-blockchain-authentication-social-media
A literature review project exploring the integration of AI and blockchain technologies for improving authentication in social media applications.
Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
Automated-Warehouse-Project
A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.
Diabetes_ML_Classification
Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.
ERC721-Smart-Contract
An ERC-721 compliant smart contract for creating and managing unique non-fungible tokens (NFTs) on the Ethereum blockchain. Built with Solidity and integrated with Web3.js for seamless blockchain interaction.
Java
Explore Java from basics to Object-Oriented Programming (OOP) concepts with practical examples and detailed explanations. Dive into approximately 55-60 Java programs covering topics like variables, control flow, arrays, OOP principles, exception handling, and more. Ideal for learners looking to solidify their understanding of Java fundamentals.
MovieMatcher-Movie-Recommender-System
A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.
abhipatel35's Repositories
abhipatel35/Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
abhipatel35/Java
Explore Java from basics to Object-Oriented Programming (OOP) concepts with practical examples and detailed explanations. Dive into approximately 55-60 Java programs covering topics like variables, control flow, arrays, OOP principles, exception handling, and more. Ideal for learners looking to solidify their understanding of Java fundamentals.
abhipatel35/abhipatel35.github.io
abhipatel35/Accommodation-and-Roommate-Finder
A user-centered design project focusing on a seamless experience for apartment searches and roommate matching. The platform enhances usability and accessibility through wireframes, prototypes, and usability testing.
abhipatel35/Advance-Java
abhipatel35/ai-blockchain-authentication-social-media
A literature review project exploring the integration of AI and blockchain technologies for improving authentication in social media applications.
abhipatel35/Automated-Warehouse-Project
A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.
abhipatel35/Diabetes_ML_Classification
Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.
abhipatel35/ERC721-Smart-Contract
An ERC-721 compliant smart contract for creating and managing unique non-fungible tokens (NFTs) on the Ethereum blockchain. Built with Solidity and integrated with Web3.js for seamless blockchain interaction.
abhipatel35/Gym-Performance-Analysis
Analyzing gym performance and user engagement in Arizona using Spark SQL, PySpark, and visualization techniques on the Yelp dataset.
abhipatel35/Java-Inheritance-Employee-Management
Java Inheritance Employee Management: Explore inheritance in Java with classes representing employees, including analysts and salespersons, showcasing salary raises and bonuses.
abhipatel35/ML-Regression-Lifecycle
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
abhipatel35/MovieMatcher-Movie-Recommender-System
A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.
abhipatel35/Sentimental-Analysis-Without-NLTK
Sentimental Insights: Python-based sentiment analysis tool without NLTK. Analyzes text, extracts sentiments, visualizes results using matplotlib. Simplified, efficient, and insightful. No-NLTK Sentiment Analyzer.
abhipatel35/SnakeGame-JAVA
Snake Game: A classic implementation of the popular Snake game in Java using Swing. Control the snake, eat apples, and avoid collisions to win!
abhipatel35/SVM-Hyperparameter-Optimization-for-Breast-Cancer
Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.
abhipatel35/Hyperledger-Fabric-Private-Blockchain
Built a private blockchain-based supply chain management solution using Hyperledger Fabric. Developed custom chaincodes in Go, configured a Docker-based blockchain network for secure and transparent transactions, and validated the system for efficiency and reliability.
abhipatel35/Neetcode-150
abhipatel35/Twitter-Analysis
Python script conducts sentiment analysis on Twitter data via GetOldTweets3, omitting NLTK. It preprocesses, analyzes sentiments, and visualizes results with a bar graph.