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Name: Shelly Levy
Type: User
Name: Shelly Levy
Type: User
Bayes and EM exploration with implementations of EM algorithm and Naive Bayes. Visualize results for enhanced understanding.
A PyTorch CNN exploration, detailing AlexNet and training on CIFAR10. We adjust hyperparameters and visualize with saliency maps to understand neural decisions.
Credit Default Prediction using Python. Explore and predict default payment utilizing 23 explanatory variables. Analyze credit, demographic, and payment history features. Valuable for risk assessment in financial domains.
Decision Trees implementation with OOP in Python. Includes Gini and Entropy impurity measures, construction of decision tree algorithms, pruning for improved results, and visualization for enhanced understanding.
A PyTorch deep dive, exploring regression on diabetes data and classification on MNIST/CIFAR-10, with neural network tuning for optimal results.
IT Course Exercise 10 (Reichman University)
This repository contains code, documentation, and analysis for a project exploring the impact of image permutation on the performance of neural network classifiers. The project investigates how segmenting images into tiles and applying various permutation patterns affects classification accuracy and the learning process of neural networks.
This repository contains code snippets and theoretical discussions for two related tasks: fooling classifiers and object localization using deep learning techniques.
Explore predictive modeling for peer lending in SoftLending data. From business understanding to model evaluation, uncover insights for investment strategies. Organized and documented for efficient navigation. #DataScience #Analytics
Explore and implement Linear Regression using pandas and NumPy. Fit models, visualize results, and experiment with adaptive learning rates. Ideal for understanding predictive modeling with practical examples.
This project explores the US domestic airline network, analyzing airport centrality's impact on flight delays using Python's NetworkX for Social Network Analysis. The goal is to enhance operational efficiency and guide dynamic pricing for flight delay insurance.
Predicting Titanic survival using machine learning models with age, sex, ticket class, and fare. Tested linear regression, logistic regression, and KNN with cross-validation and metrics like accuracy and recall. The best-performing model is available on GitHub with code, data, and results.
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.