Pinned Repositories
-2021-DSC-Lab-Imbalance-Learning
This repository contains the Data Science Laboratory project work. Exploring active learning for undersampling to overcome imbalance problems in datasets.
Cat_Dog_CNN_BinaryClassifier
In this repository I used tensorflow and keras to implement a model that uses convolutional neural networks to classify images of dogs and cats.
Clustering-ELTE-Lab-Assignment
CODE-n-PLAY
This is a simple UNITY 2D collision game where the user moves a ball (using the keyboard arrows) to catch cubes while avoiding bombs and canons.
DATA-LIT-DATA-VISUALIZATION
This work is part of the homework assignement of the "DATA VISUALIZATION" of the "DATA LIT" course. In this notebook I analyzed the stroke analysis:https://www.kaggle.com/asaumya/healthcare-dataset-stroke-data
DATA-LIT-PROJECTS
Projects of the DATA LIT course
Data-Lit-STATISTICS
This work is done for the "STATISTICS" homework asssignement of the "DATA LIT" course.
MNIST-DIGITS-KMEANS-Clustering
This is a notebook where I used KMEANS on the mnist digits dataset imported from sklearn. And I also applied t-SNE (Stochastic Neighbors Embedding) to reduce the dimensions of the dataset in order to graph the resullting clusters in a 2D scatter plot using matplotlib and plotly
Scale-Sentiment-Detection-In-Memes-Using-Multi-Modal-Approach
The goal is to tackle a hot topic that emerged due to the exponential use of social media which is sentiment analysis in memes, and we will try to combine both images and text from the memes to detect the overall sentiment present ranging from “very negative - very positive” to the detection of other sentimental content (sarcasm-humor-motivational-offensive). Due to the multimodal nature of the problem, we will go through models presented in different surveys present in the litterature
thetamedbot
ThetaMedBot
SofianeOuaari's Repositories
SofianeOuaari/MNIST-DIGITS-KMEANS-Clustering
This is a notebook where I used KMEANS on the mnist digits dataset imported from sklearn. And I also applied t-SNE (Stochastic Neighbors Embedding) to reduce the dimensions of the dataset in order to graph the resullting clusters in a 2D scatter plot using matplotlib and plotly
SofianeOuaari/CODE-n-PLAY
This is a simple UNITY 2D collision game where the user moves a ball (using the keyboard arrows) to catch cubes while avoiding bombs and canons.
SofianeOuaari/Scale-Sentiment-Detection-In-Memes-Using-Multi-Modal-Approach
The goal is to tackle a hot topic that emerged due to the exponential use of social media which is sentiment analysis in memes, and we will try to combine both images and text from the memes to detect the overall sentiment present ranging from “very negative - very positive” to the detection of other sentimental content (sarcasm-humor-motivational-offensive). Due to the multimodal nature of the problem, we will go through models presented in different surveys present in the litterature
SofianeOuaari/thetamedbot
ThetaMedBot
SofianeOuaari/-2021-DSC-Lab-Imbalance-Learning
This repository contains the Data Science Laboratory project work. Exploring active learning for undersampling to overcome imbalance problems in datasets.
SofianeOuaari/Cat_Dog_CNN_BinaryClassifier
In this repository I used tensorflow and keras to implement a model that uses convolutional neural networks to classify images of dogs and cats.
SofianeOuaari/Clustering-ELTE-Lab-Assignment
SofianeOuaari/DATA-LIT-DATA-VISUALIZATION
This work is part of the homework assignement of the "DATA VISUALIZATION" of the "DATA LIT" course. In this notebook I analyzed the stroke analysis:https://www.kaggle.com/asaumya/healthcare-dataset-stroke-data
SofianeOuaari/DATA-LIT-PROJECTS
Projects of the DATA LIT course
SofianeOuaari/Data-Lit-STATISTICS
This work is done for the "STATISTICS" homework asssignement of the "DATA LIT" course.
SofianeOuaari/elte
SofianeOuaari/Housing-Price-Prediction--DATA-LIT-
This is for the homework assignement of the "Regression" part of the "DATA LIT" course
SofianeOuaari/Kaggle-Survey
In this repository, I am using plotly and matplotlib to analyze the Kaggle ML/DL Survey 2018. (This work is part of the "DATA LIT" data visualization assignement.
SofianeOuaari/Malaria_Cells_Binary_Classifer
I implemented a model that can identify cells with malaria from normal cells. I used Tensorflow and Keras to build the model with convolutional neural networks.
SofianeOuaari/MNIST_FASHION_CNN_Classifier
In this repository I used tensorflow and keras to implement a model that uses convolutional neural networks for a supervised task with categorical data. The goal of this model is to classify images of clothes into one of the 10 different labels.
SofianeOuaari/Ready-BootCamp-Constantine-Flutter-App
This is a mobile application done using flutter and used for the Ready BootCamp 2019 in Constantine, Algeria.
SofianeOuaari/Real-time-error-analysis-in-CDNs
SofianeOuaari/Space_Shooter-Game-C-Unity-game-
This is the code of a 3d game I created called "Space Shooter" using Unity GameEngine/C# as the programming language. The game is aall about navigating a space ship in the "Milky Way" galaxy to avid asteroids while fighting enemy naves in the same time.
SofianeOuaari/STROKE_DISEASE_ANALYSIS
Analyzing data of stroke diseases and predicting the results on testing patients using a decision tree classifier with sci-kit learn. The prediction accuracy reached 0.95.
SofianeOuaari/DATA-LIT-LOGISTIC-REGRESSION
In this repository I implemented the logistic regression allgorithm from scratch using only numpy and pandas. For this repo I used the data from : https://www.kaggle.com/johnolafenwa/us-census-data. This is a homework assignement for the "Data Lit" course.