Welcome to my portfolio! Here, you'll find the done project of data science field and some software-engineering projects, showing my skills and projects
Project 1: Anime Predictor
- collaborative filtering to recommend anime to users based on their viewing history and ratings.
- Python.
- Using KNN.
Project 2: Breast Cancer Classification
- classify breast cancer cases as benign or malignant using machine learning models.
- Python
- Using Randomforest Classification.
Project 3: bike-share (Google)
- use Cyclistic bikes differently till we can convert casual riders into annual members.
- R
- Analytical Skills.
Project 4: League of legands (Who's winner)
- Our models provide predictions for the winning team based on the provided in-game features.
- Python.
- Developed 2 models to predict the winner of 2 teams.
Project 5: Titanic (Kaggle Compitation)
- Knowing who stayed alive and who had dead in titanic.
- Python.
- Developed Randomforest model.
Project 6: SpaceX (IBM DS)
- SpaceX Project about Falcon 9 rocket launches.
- Python.
- Developed Classifacion models.
Project 7: Walmart supermarkets
- the Walmart sales dataset, providing insights into store performance, holiday impact, and potential areas for improvement.
- Python - Streamlit.
- Shown important insights for walmart.
Project 8: Handwritten Classification
- we aim to recognize handwritten digits using a Convolutional Neural Network (CNN).
- Python - Tensorflow - GUI.
Project 9: Spam Email Classification
- Exploring a dataset of SMS messages, this project distinguishes between legitimate and spam messages, achieving a Support Vector Machine model accuracy of 97.5% and offering insights into spam detection and text analysis.
- python - Text mining - GUI.
Project 10: House Prediction
- This project delves into housing data, tackling missing values, engineering features, and developing a ridge regression model to accurately predict home prices, achieving a Mean Squared Error of 0.02 and an R2 Score of 89.18%, while also providing insightful visualisations.
- Python - Regression with CV.
Project 1: Smart Home System Using ESP32
- Building up smart home using ESP32 and make it accessible using mobile phone
- C++ - Arduino - Flutter - Firebase cloud.
- There's provided video of working project.
I'm someone who loves using data and technology to solve tough problems. I've worked with different programming languages like Python, SQL, R, Java,C++, and various of tools to fit up my world of data.
- Email: umahmoudessam@gmail.com
- LinkedIn: To Access My linked-in Profile