GitHub / MahdiKh03 1 Repository
MahdiKh03/titanic-in-space
A machine learning project to predict whether passengers were transported to an alternate dimension in the Spaceship Titanic dataset. It involves data cleaning, model training with LGBM and XGBoost, and model performance comparison.
Language: Jupyter Notebook - Size: 598 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/Will-you-survive-titanic
A machine learning project using the Titanic dataset to predict passenger survival. Models used: XGBoost, Logistic Regression, and Random Forest.
Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/pong-game-python-turtle
Building the classic two-player Pong game using Python's Turtle library, featuring paddle control, ball movement, and score tracking.
Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/python-snake-game
Built the classic Snake game using Python's Turtle graphics library.
Language: Python - Size: 4.88 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/kNN-Algorithm-on-IrisDataset
A machine learning project to implement the K-Nearest Neighbors (KNN) algorithm from scratch using Python for classification on the Iris dataset.
Language: Python - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/Transaction-Fraud-Detection
A machine learning project to predict fraudulent transactions using supervised learning algorithms, along with feature engineering techniques.
Language: Jupyter Notebook - Size: 201 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/House-prices-linear-regression-scratch
A machine learning project to implement linear regression from scratch, including a basic implementation of gradient descent, on the house prices dataset.
Language: Jupyter Notebook - Size: 144 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MahdiKh03/Custumers_Clustering_RMF
A data analysis project to implement RFM (Recency, Frequency, Monetary) analysis for customer segmentation and behavior analysis using the K-Means algorithm.
Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0