Mohamed Nasser Abohamda

Created a logistic regression model to predict loan approval using machine learning techniques.

Modeled historical trends to predict future gold prices using machine learning.

Built a regression model to estimate car prices based on features.

Used decision trees and random forest to predict churn behavior in customers.

Designed a spam/not-spam email classifier using Naive Bayes and TF-IDF.

Predicted drug types based on patient medical data using SVM.

Conducted full EDA, handled missing data, and built visualizations for Olympic Games data.

Analyzed book sales trends and visualized the data for better insights.