Pinned Repositories
Auto-Corrector-
Coursera Nlp Specialization auto corrector
camera-capture-streamlit
capturing the camera using stream lit
Deep-Learning-ANN
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 find the best parameters..
Deep-Learning-Auto-Encoders
predicting if a user will like a movie or not based on the user ratings and the movies he watched using auto encoders.
Deep-Learning-Boltzman-Machines
predicting if a user will like a movie or not based on the user ratings and the movies he watched using boltzman machines.
Deep-Learning-CNN
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 .
Deep-Learning-RNN
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 the last 60 financial days.
Deep-Learning-SOM
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 to be able to define the frauds.
Mr-Algorithms
you will find all your pdfs and codes here enjoy .
marioeid's Repositories
marioeid/Mr-Algorithms
you will find all your pdfs and codes here enjoy .
marioeid/Auto-Corrector-
Coursera Nlp Specialization auto corrector
marioeid/camera-capture-streamlit
capturing the camera using stream lit
marioeid/Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
marioeid/English-Frensh-Translator
marioeid/Facial-Emotion-recognition
using media pipe and deepface python library to do emotion detection from long range and for multiple faces with great accuracy
marioeid/Facial-Emotion-recognition-streamlit
Detecting the Emotions From live camera from a long distance and with multiple faces using Streamlit library
marioeid/ibm-python-webscraping-assignment
marioeid/Introduction-to-Discrete-Mathematics-for-Computer-Science-Specialization
Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields including data science, machine learning, and software engineering (it is not a coincidence that math puzzles are often used for interviews). We introduce you to this language through a fun try-this-before-we-explain-everything approach: first you solve many interactive puzzles that are carefully designed specifically for this online specialization, and then we explain how to solve the puzzles, and introduce important ideas along the way. We believe that this way, you will get a deeper understanding and will better appreciate the beauty of the underlying ideas (not to mention the self confidence that you gain if you invent these ideas on your own!). To bring your experience closer to IT-applications, we incorporate programming examples, problems, and projects in the specialization.
marioeid/Machine-Learning-A-Z-Codes-and-Datasets-
marioeid/Machine-Learning-A-Z-Udemy
marioeid/Machine-Learning-Apriori
use association rule learning to know where to place the products in the store given all the transactions .s
marioeid/Machine-Learning-grid-search
apply grid search to find the best parameters on social networks ads dataset to get higher accuracy .
marioeid/Machine-Learning-Hierarchical-Clustering
cluster the mall clients given the information (income - spending score) .
marioeid/Machine-learning-k-cross-validation
use k-cross validation on social networks ads dataset to get a better accuracy .
marioeid/Machine-Learning-K-Means-Clustering
cluster the mall clients given the information (income - spending score) .
marioeid/Machine-Learning-kernel-PCA
kernel PCA on social networks ads dataset to see how it will handle non linearity .
marioeid/Machine-Learning-LDA
use LDA to apply Dimensionality reduction on wine chemicals dataset .
marioeid/Machine-Learning-Naive-Bayes
marioeid/Machine-Learning-Natural-Language-Processing-NLP
understand if a review is positive or negative .
marioeid/Machine-Learning-PCA
use PCA to apply Dimensionality reduction on wine chemicals dataset .
marioeid/Machine-Learning-Thompson-Sampling
solve the multi-format bendit problem .
marioeid/Machine-Learning-Upper-Confidence-Bound-UCB
solve the multi-format bendit problem .
marioeid/Machine-Learning-xg-boost
use xg boost on the previous used ANN to get a better result .
marioeid/marioeid
marioeid/Mathematics-for-Machine-Learning-specialization
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.
marioeid/Natural-Language-Processing-Specialization
Natural Language Processing with Classification and Vector Spaces -Natural Language Processing with Probabilistic Models-Natural Language Processing with Sequence Models- Natural Language Processing with Attention Models
marioeid/progvar.fun-problems-solutions
marioeid/text-generation-heroku
marioeid/vue.js-blog-the-net-ninja-tutorial
a blog using vue cli with a good design and a searching functionality in it (no database included using online data)