8000 marioeid (Mr Algorithms (Mario Eid) ) · GitHub
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Achievement: Starstruckx2Achievement: Arctic Code Vault Contributor

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marioeid/README.md

Hi there 👋

welcome to my github Mr Algorithms says hello

hi there ,i am mario eid (Mr Algorithms is what i like to call my self) i am passionate about math and science in general i like the applications of science how it really can change the world ,i am currently studing machine learning and basic science i also have a good experience in competitive programming .

Deep Learning
finished 6 projects in deep learning udemy certificated course Deep learning from a to z
Machine learning
finished 9 sections out of 10 (currrently working on the last one) with many projects (udemy certificated coure machine learning from a to z)
web development
finished 3 or 4 projects one front end template and one php ecommerce and the last one was laravel crud system based blog the last project was a blog with pure php
competitive programming and basic science
two years ECPC contestant ,i am a huge science lover, good at math combinatorics statistics and geometry, math and number theory , graph theory , datastructures , algorithms ,i love basic science in general

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  1. Deep-Learning-RNN Deep-Learning-RNN Public

    Recurrent neural network for predicting google stock prices based on the last 3 months (20 financial days) we need to predict for every day of jan 2017 (20 days in total) the stock price based on t…

    Jupyter Notebook

  2. Deep-Learning-ANN Deep-Learning-ANN Public

    linear regression (neural network) with accuracy 85% to predict if a person will exit the bank or not using three models pure model (ANN),ANN with k-cross validation and,ANN using grid search to fi…

    Jupyter Notebook

  3. Deep-Learning-Boltzman-Machines Deep-Learning-Boltzman-Machines Public

    predicting if a user will like a movie or not based on the user ratings and the movies he watched using boltzman machines.

    Jupyter Notebook

  4. Deep-Learning-CNN Deep-Learning-CNN Public

    CNN with 87.7 accuracy (can be improved) , detect if the image is a cat or a dog from 10000 images using conventional neural network (sequential) with keras .

    Jupyter Notebook

  5. Deep-Learning-Auto-Encoders Deep-Learning-Auto-Encoders Public

    predicting if a user will like a movie or not based on the user ratings and the movies he watched using auto encoders.

    Jupyter Notebook

  6. Deep-Learning-SOM Deep-Learning-SOM Public

    self organizing map to detect fraud on credit cards (and specify if the card was approved or not) we used an already made code for the som to solve the problem and we plotted the map from scratch t…

    Jupyter Notebook 1 2

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