Aliaa Kashwa's repositories
Airbnb-price-category-prediction
In this project, we are going to predict the listing price based on the listing characteristics, in this way to optimize user experience and lower the bar to be a new host.
Fake-Reddit-Prediction
In this project, we are going to predict if a specific reddit post is fake news or not, by looking at its title.
Aliaa-Kashwa
Config files for my GitHub profile.
Mountain-Car_Reinforcment-learning-Project
A car is on a one-dimensional track, positioned between two “mountains”. The goal is to drive up the mountain on the right in as few steps as possible; however, the car’s engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum
Fake-News-Analysis
In this project, we are going to answer 3 interesting questions through using different models that they are related to this important topic in NLP field.
Anti-Cancer-Drug-Activity-Prediction
This competition is a bioassay task for anticancer activity prediction, where each chemical compound is represented as a graph, with atoms representing nodes and bonds as edges. A chemical compound is positive against non-small cell lung cancer, or negative otherwise.
The-Fashion-MNIST-clothing-classification
The objective is to identify (predict) different fashion products from the given images using 3 different transfered learning models (LeNet 5, VGG19, AlexNet) with some preprocessing for each model of them
Speed-Dating-Match-Prediction
The goal is to predict the outcome of a specific speed dating session based on the profile of two people, so we will implement a recommendation system to better match people in speed dating events.
Wish.com-Product-Rating-Prediction
The goal is to predict the product ratings given the other features known for a product on Wish.com. Ratings are in categories from 1 to 5. For one product, the higher the rating is, the more the customers like the product. In this way, when you have a new product to be put on wish.com, you can estimate how likely people will like your product, without actually listing out there. Also, by doing this, it helps us to understand under what certain conditions that a product will be highly rated, as a way to understand the customer base of the wish.com.
Building-a-Recurrent-Language-Model
A language model can predict the probability of the next word in the sequence, based on the words already observed in the sequence. The model will consider the context of the last 50 words of a particular sentence and predict the next possible word.
Iris-data-classification-using-NN
The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). For Iris Dataset it is evident that Neural networkis the best classification method. So we will build simple nural network model for classifying the iris data.
Leaf-Classification-using-NN
The objective of this playground competition is to use binary leaf images and extracted features, including shape, margin & texture, to accurately identify 99 species of plants.
COVID-19-Outcome-Prediction
The purpose of this project is to identify whether a person is going to recover from coronavirus symptoms or not based on some pre-defined standard symptoms. These symptoms are based on guidelines given by the World Health Organization (WHO).
Deep-learning-based-end-to-end-speech-recognition
The goal of this project is to get familiar with applications that require speech data as input.