I'M
Noura
alkhrishah

Conducted Exploratory Data Analysis (EDA) on Airbnb listings, identifying key trends, patterns, and insights to enhance decision-making and optimize listing performance.

Exploratory Data Analysis with project Airbnb Listing EDA

The project involves building a supervised learning model to classify or predict outcomes using labeled data, with PyCaret simplifying the process of model training and evaluation.

Supervised Learning Foundation

the X-ray images are classified as either having pneumonia or not (binary classification problem), which is consistent with supervised learning because the model learns from pre-labeled data.

Supervised Learning Foundation

Using Recurrent Neural Networks (RNN) and LSTM layers which are useful for dealing with data sequences such as texts. The model is used to classify texts into categories (positive or negative). The project is a direct application of Sentiment Analysis.

Deep Learning 

Using AI techniques, solar storm data such as color wavelengths and magnetic fields were converted into audible sound frequencies. Each data point (e.g., color) was mapped to a specific frequency, allowing users to "hear" solar storms

Generative AI