jonathan-monir Goto Github PK

attendance-system-project

Attendance System Project based on Face Recognition Deployed with Streamlit

credit_app

dsp-tasks

get_section_v2

This is a simple Streamlit app that allows students to quickly find their schedules for each section in their university. The app takes the student's name or seat number as input and returns a full timetable for his unique schedule appears in the app for him.

heart-disease-prediction

Developed a predictive model to identify individuals at risk of heart disease using machine learning techniques. • Deployed the model using Streamlit.

house-predection-notebook

The house price prediction notebook, predicts the house price by analyzing factors such as size, date and condition using polynomial regression, then grouping prices into 3 categories using K-means.

invo_app

organize-folder

Creates dictionaries, add each file to the suitable place according to it's extension

pollution-levels-analysis

pumpkin_seeds_dataset

This project focuses on building a predictive model to identify the types of seeds based on 11 different attributes. The dataset was pre-processed and split into training and testing sets. The Support Vector Machine (SVM) algorithm was used along with hyperparameter tuning to improve the model's performance.

text_summarization

water-potability

1st place project in Machine Learning’22 summer training (ApplAI student activity-Ain Shams University)🥇