amanysalahfattouh Goto Github PK

airbnb_price_category_prediction

One of the biggest problems when people prepare to post a new listing on airbnb is, how much should one ask for? Of course the most intuitive way is to check how other similar postings price their apartment/house

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.

async

course3_world

covid_19

Different classifiers (KNN - logistic regression - naive bayes - decision tree - SVM) are designed to predict the outcome of COVID-19 (death/recovery) when a new person is admitted to the hospital.

data-science-roadmap

Data Science Roadmap from A to Z

data_mining

datamining

data mining

datting_match_prediction

we are going to predict the outcome of a specific speed dating session based on the profile of two people, so we can implement a recommendation system to better match people in speed dating events. We did have another online dating dataset (Tinder-like) but that one is super dirty which requires extensive cleaning, so we do this one instead.

dscprofile

profile UI flutter

dsctask4

fake_reddit_prediction

False information on the Internet has caused many social problems due to the raise of social network and its role in different domains such as politics. In this assignment, we are going to predict if a specific reddit post is fake news or not, by looking at its title. The data is raw (contains various forms of words)

fashion_mnist

The Fashion MNIST clothing classification dataset using CNN and transfer learning

klimatic

leaf_classification

In this project I tried to fine-tune the hyperparameters to get the best performance of the fully connected network on the leaf classification dataset

loginrestaurant

music_nn

nlp-101-iti-course

NLP course for ITI AI-Pro track

postapp

product_rating_prediction

he dataset is not clean, and you will need some preprocessing depending on the models of your choice. The dataset is the wish.com product dataset. We collected the data combined with some available data. Some nosies are added to the dataset. The goal is to predict the product ratings given the other features known for a product on Wish.com.

social_media_analytics

For this project my team and I used Spark and a suite of relevant big data tools to analyze social media data for gaining insights into user behavior to a particular brand or product, and how users are engaging with the social media content.

task2dsc

task3dsc

task7

time

timeApp

tripdsc

uiprofile