AI & Data Science Enthusiast, Cairo University Student

devto

productHunt

github

Mohamed Hisham Abdelzaher  • Peerlist

Digit Recognizer

Chatacter

Facial Emotions Detection

Seismic Detection

Handwritten Recognition

• Collaborated 3-member team
• Created to classify Iris flowers into three species: Setosa, Versicolor, and Virginica
• Trained on a dataset of 150 Iris flowers
• Achieved an accuracy of 97.7%

Iris Classification

Product Recommendation

Hexapod Robot

Titanic Classification

Face Recognition

• Implemented Logistic Regression from Scratch
• Applied 10-Fold Validation with 0.1, 0.01, 0.001 and 0.0001 learning rates from scratch
• The model with the learning rate of 0.1 achieved the highest accuracy

Logistic Regression

• Applied data analysis to the Medical Cost Personal Datasets
• Success demonstrated the power of data analysis to improve our understanding of medical costs.

Medical Insurance Cost Prediction

• Analyzed a 1,061-column and 7-row motorcycle dataset
• The data was cleaned and processed using Python and Pandas

Motorcycle Data Analysis

Spam Detection

• AI-Powered Used Cars Price Predictions with Linear Regression
• Final project at the Google Developer Student Club Cairo University
• Applied Linear regression on a 10-column and 72,435-row dataset of used cars

Car Price Prediction

• Game rental store application
• Used C# programming language and Microsoft SQL Server LocalDB database
• Collaborated 5-member team
• Finish 1 week to complete