Nada (@nadaAlruwaythi)
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nadaAlruwaythi

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Iris_Decisiontree_classifier

The Iris flower data set or Fisher's Iris data set is a multivariate data set. The data set consists of 150 samples from each of three species of Iris (Iris setosa-0, Iris virginica-1 and Iris versicolor-2). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other
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nadaAlruwaythi.github.io

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Face-Mask-Detection-DeepLearning

we will build a deep learning model that recognizes persons wearing masks, people with no masks, and people wearing erroneous masks.
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Amazon-Laptop-Price-Regression

Regression Project for SDAIA T5 Data Science Bootcamp. This project will choose the best regression model to predict laptops prices.
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MTA-Cookies-Booth

The purpose of this project is to study and understand the Metropolitan Transportation Authority's MTA data set.
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IMDB_Reviews_NLP

The goal of this project was to use unsupervised learning to handle the text data which consists of movie reviews and build a classification model. The model should be able to classify the sentiment of the movie reviews, whether it is a positive or negative sentiment.
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7

Bank_Marketing_Classification

The primary goal of the project is to predict whether or not a customer will subscribe to a service offered by the bank.
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