Nada (@nadaAlruwaythi)
github

nadaAlruwaythi

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    9
  • Global Rank 1,016,368 (Top 36 %)
  • Followers 16
  • Following 24
  • Registered about 4 years ago
  • Most used languages
    Jupyter Notebook
         85.7 %
    HTML
         14.3 %
  • Location 🇸🇦 Saudi Arabia
  • Country Total Rank 525
  • Country Ranking
    Jupyter Notebook
         64
    HTML
         210

Top repositories

1

nadaAlruwaythi.github.io

HTML
1
star
2

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.
Jupyter Notebook
1
star
3

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
Jupyter Notebook
1
star
4

Amazon-Laptop-Price-Regression

Regression Project for SDAIA T5 Data Science Bootcamp. This project will choose the best regression model to predict laptops prices.
Jupyter Notebook
1
star
5

MTA-Cookies-Booth

The purpose of this project is to study and understand the Metropolitan Transportation Authority's MTA data set.
Jupyter Notebook
1
star
6

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.
Jupyter Notebook
1
star
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.
Jupyter Notebook
1
star