Elay Sason's repositories
ANALYSIS-SP500
Using pca and transformations to analyze s&p dataset.
Crypto-Exp3
Using exp3 and its variations of it to select coins to invest in.
Deep-Learning-Comparining-Overfitting
Implementation of different networks and comparison between them.
Determine-Sentence-Emotion
Detrimane the emotion of a tweet using deep learning and LSTM
Deterministic-Drone-Problem
In this problem we are the head of a delivery agency and try to deliver the packages in the shortest time possible.
Divorce-vs-Married-Couples-Graphical-Analysis
Analyzing divorce and marriage dynamics using network analysis and graph theory.
elaysason
Config files for my GitHub profile.
Mask-Wearing-With-Deep-Learning
Detrimane if a person wears a mask or not using deep learning.
Reinforcement-Learning-Drone-Problem
Continuing the drone problem presented in https://github.com/elaysason/Deterministic-Drone-Problem but in this itertion, the drone must navigate an unknown environment under RL settings. There is no client, only a stationary place to drop the packages off.
Weather-Prediction-Project
Creating Kafka stream and use it to predict the precipitation across the globe.
Fantasy-League-Recomender
Our fanasy league project
fastbook
The fastai book, published as Jupyter Notebooks
Generative-Learning-With-Discrete-and-Continuous-VAE
Using VAE based netural network in order to learn the disiturbtion space which the photos are getting sampled and generate new photos.
Google-Play-Apps
Statistics project about google play apps.
Implementing-Movies-Recommender-Systems
implement various recommender system models and compare their performance.
Non-Deterministic-Drone-Problem
In this problem we are the head of a delivery agency and try to deliver the packages in the shortest time possible. Our clients are operating in a non-deterministic manner.
Outlier-Detection
Utilizing PySpark for distributed data processing to perform outlier detection and clustering on a dataset containing bid request information related to online advertisements, using K-means and Bisecting K-means algorithms, providing clear visualizations of the results
Portfolio-Allocation
This project was focused on optimizing portfolio allocation for September 2022 using past data in order to maximize profits.
Sepsis_Detection
This is our sepsis prediction project
SVM-Kernels-Comparison-MNIST
Commparing support vector machine vs. Radial basis function on the MNIST dataset
Tokenize-Credit-Card-Number-With-Flask
Credit Card Tokonizer App
Translating-From-German-to-English
In this project we used T5 model in order to translating sentences from German to English.
Variational-Autoencoder-Exploration-With-MINST
Implementing Variational Autoencoder and explored the importance of each part of its loss function.