Mawada Sweis's repositories

Clustering-Analysis

Clustering Analysis is used to analyze the travel behaviors, preferences, and attitudes of New York City citizens.

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Road-Status

Via the map of Palestine, the application allows Palestinian citizens who travel between Palestinian cities to discover the status of Israeli barriers firsthand.

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Exceed-weShift

WeShift is a website for ordering taxis in a new way for our Palestinian society.

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Hackerrank-Practice

"This repository contains my solutions for Python topics on HackerRank, aimed at practicing and improving my Python programming skills.

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Task-Management

Empower anyone looking to enhance their personal or professional productivity by a smart task management

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Handling-Missing-Data

Apply various methods to handling missing data - Practice

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house-pricing-EDA

Predict house price.

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http-protocol

A demonstration to make a strong depth understanding in HTTP

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Loan-prediction-dataset

Predict which of the customers will have their loan approved.

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Predict-Car-Price-

Build a service that takes information about a car and return the predicted price for that car.

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Social-Network-Ads

Determine whether a user purchased a particular product.

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InventoryManagementSystem

Develop a console-based inventory management system using C# that integrates with a PostgreSQL database

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mawada-sweis

My personal repository

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Pima-Indians-Diabetes

The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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Predict-Class-Name

The goal is to build a Naïve Bayes classification model that is able to predict the class (category) of an unseen document correctly out of 91 classes.

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Predict-Home-Price-Microservices

I had to create a microservices for predict home price using several ML models

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Smart-Exam-Scheduler-System

We have 10 exams and the task is to assign a hall and a time slot for each exam. The set of available time slots is T = t1, t2, t3, t4 and the set of available halls is A, B, C.

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Spatio-temporal-analysis

Spatio-temporal analysis of a twitter Stream

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Test-Automation

Practice test automation using Cypress.

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unitTest

Practice on unit test by using Python

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