AhmedMoussa99
AI Engineer | Data Scientist | Master's Student at Queen's University | BSc In computer science & control systems Engineering
Cairo/Egypt
Pinned Repositories
Airbnb-price-category-prediction
we want to build a neural network model to make predict the type of real estate and its price, our inputs here are summary for this real estate and its image and the outputs here are a type of this real estate and its price. (training dataset:- 7627 samples), (test dataset:- 7360 samples).
Airflow-Store-Sales-Project
Airflow pipeline for data reading, cleansing, aggregating, saving, and emailing the results!
Anti-cancer-activity-prediction
It’s a bioassay problem, we want to build a model to predict which compounds of chemical components will be effective against non-small cell lung cancer and which are not, by using complex chemical structured data.
Clustering-and-Frequent-Pattern-Mining-on-a-bank-card-transaction
This project consists of 2 parts on bank card transaction data: the first part is performing Data Exploration, Statistics, Hypothesis Test, and Regression Analysis. the second part required clustering analysis and frequent pattern mining.
Covid-18-outcome
Different classifiers are designed to predict the outcome of COVID-19 (death/recovery) when a new person is admitted to the hospital.
Data-Professionals-Survey
A Power BI dashboard that analyzed and visualized survey data about various data professions
Fake-Reddit-Prediction
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) so it is up to you on what text preprocessing techniques to be applied
Fashion-mnist-clothing-classification-
The objective is to identify (predict) different fashion products from the given images using 3 different transfere learning models (LeNet 5, VGG16, ResNet50) with some preprocessing for each model of them.
Spice
An asp.net core web application for a resturant called spice that offers different types of food and customer can order it online
Telecom-ETL-with_SSIS
Developed a data flow system to process and map transaction data from CSV files for a telecom company. Implemented auditing and data validation techniques to handle missing values and incorrect data types, optimizing processing efficiency.
AhmedMoussa99's Repositories
AhmedMoussa99/Airbnb-price-category-prediction
we want to build a neural network model to make predict the type of real estate and its price, our inputs here are summary for this real estate and its image and the outputs here are a type of this real estate and its price. (training dataset:- 7627 samples), (test dataset:- 7360 samples).
AhmedMoussa99/Airflow-Store-Sales-Project
Airflow pipeline for data reading, cleansing, aggregating, saving, and emailing the results!
AhmedMoussa99/Anti-cancer-activity-prediction
It’s a bioassay problem, we want to build a model to predict which compounds of chemical components will be effective against non-small cell lung cancer and which are not, by using complex chemical structured data.
AhmedMoussa99/Clustering-and-Frequent-Pattern-Mining-on-a-bank-card-transaction
This project consists of 2 parts on bank card transaction data: the first part is performing Data Exploration, Statistics, Hypothesis Test, and Regression Analysis. the second part required clustering analysis and frequent pattern mining.
AhmedMoussa99/Covid-18-outcome
Different classifiers are designed to predict the outcome of COVID-19 (death/recovery) when a new person is admitted to the hospital.
AhmedMoussa99/Data-Professionals-Survey
A Power BI dashboard that analyzed and visualized survey data about various data professions
AhmedMoussa99/Fake-Reddit-Prediction
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) so it is up to you on what text preprocessing techniques to be applied
AhmedMoussa99/Fashion-mnist-clothing-classification-
The objective is to identify (predict) different fashion products from the given images using 3 different transfere learning models (LeNet 5, VGG16, ResNet50) with some preprocessing for each model of them.
AhmedMoussa99/Spice
An asp.net core web application for a resturant called spice that offers different types of food and customer can order it online
AhmedMoussa99/Telecom-ETL-with_SSIS
Developed a data flow system to process and map transaction data from CSV files for a telecom company. Implemented auditing and data validation techniques to handle missing values and incorrect data types, optimizing processing efficiency.
AhmedMoussa99/Identity
A simple Asp.net application a to apply on Identity
AhmedMoussa99/JobsWebSite
An Asp.net MVC web application where you can offer or apply for a job
AhmedMoussa99/Leaf_Classification
AhmedMoussa99/Multi-Task-Recommender-System
Implement multi-task learning for recommendation using Tenrec dataset. Tasks: Develop model for item recommendation and CTR prediction. Input: User-item interaction data, user features, item features, and interaction types. Outcome: Create multi-task learning model for improved recommendation accuracy and CTR prediction.
AhmedMoussa99/MyPortfolio
An asp.net core web application used to present someone's portfolio
AhmedMoussa99/performing-NLI-task-using-Roberta-and-DistilBERT
NLI task was performed on contractNLI dataset using distilbert and roberta. In addition, some analyses such as reporting the performance and error analysis for each of them. the data could be found here:https://stanfordnlp.github.io/contract-nli/
AhmedMoussa99/Sales_DWH
AhmedMoussa99/Speed-Dating-Match-Prediction
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
AhmedMoussa99/Vidly
A simple Asp.net MVC project to practise CRUD operations
AhmedMoussa99/Wish.com-Product-Rating-Prediction
we have a dataset from Kaggle which was originally scraped from Wish E-Commerce Platform. It contains some input features like (price, retail_price, product_size, product_colour) and the output here is rating. so our job here to build the model to make us able to answering some quesitons like. -What are the top selling products? -Which are the mo