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Nada's Projects

amazon-laptop-price-regression icon amazon-laptop-price-regression

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

imdb_reviews_nlp icon 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.

iris_decisiontree_classifier icon 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

mta-cookies-booth icon mta-cookies-booth

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

project icon project

GitHub project (Project 3) repository for PDSND

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