parissashahabi Goto Github PK
Name: Parisa Shahabinejad
Type: User
Bio: Computer Engineering Student at University of Isfahan
Location: Isfahan, Iran
Blog: parissashahabi.github.io
Name: Parisa Shahabinejad
Type: User
Bio: Computer Engineering Student at University of Isfahan
Location: Isfahan, Iran
Blog: parissashahabi.github.io
Solving various problems with the help of Algorithms DP and D&Q related to the Algorithm Design Course of University of Isfahan
Implementation of algorithms and various data structures using JavaScript
Developed a model to predict project scores based on technical aptitude test results. Cleaned and normalized the data, then applied regression analysis to forecast grades.
Clustered behavioral data into two groups, regardless of gender, and evaluated cluster consistency with gender division using silhouette and Davies-Bouldin scores. Additionally, identified the optimal cluster count using the elbow method and re-evaluated clustering efficacy.
Binance clone
Implemented Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks from scratch in Python and used ResNet-34 as a feature extractor. Evaluated and compared the classification accuracy of the two networks on the CIFAR-10 dataset.
Explore comprehensive data analysis of the cloth_final dataset, featuring preprocessing, statistical summaries, and visualization of customer feedback and product attributes for two clothing stores, using Python tools like Pandas and Seaborn in Jupyter Notebooks.
Project form defined for Data Structures course
Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.
Front-end and back-end side of Heifes website. Heifes is a website that connects customers to stores that have unsold food surplus.
A website for job seekers and employers, featuring user authentication, job posting and searching, and profile management.
16 bit processor designed in logisim
Designed a mini-C compiler utilizing Lex and Yacc for the purpose of translating C code into a machine-readable format. Implemented both the Lexical Analyzer and the Lexical Parser.
Solving N Puzzle problem with the help of Dijkstra and bidirectional search algorithms
Applied evolutionary algorithms to automate deep neural network design for image classification. The network architecture was optimized by selecting the best feature extractor, number of hidden layers, number of neurons, and activation function from a predefined search space.
Applied a self-organizing map network to cluster feature vectors extracted from ResNet-34 on the CIFAR-10 dataset. Explored different network configurations, such as one-dimensional and two-dimensional topologies, and neighborhood radius, to analyze the clustering results.
This project aims to develop a bot capable of competing against human players in the game Soccer Stars.
Predictive modeling project analyzing Spotify's Persian music dataset to estimate track energy using machine learning techniques, specifically MLP regressor and Linear Regression.
Developed a predictive model to forecast travel insurance subscriptions using MLP Classifier and Logistic Regression after data analysis and preprocessing in Python.
A social network similar to Tumblr
Documents and exercises for the advanced programming course offered by the University of Isfahan
Implemented an evolutionary algorithm to optimize the cost and service quality of a city-wide communication network by adjusting the number, location, and transmit power of sensor nodes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.