A list of my top Machine Learning projects, in the form of
Jupyter Notebook using Python.
Most notebooks are fully open-sourced on GitHub. You can click
on the picture to view the full project on GITHUB and KAGGLE.
TITANIC SURVIVAL PREDICTION
Machine Learning Models
Python | 2024
This project aims to develop a model that predicts survival by identifying the key factors that increase the chances of living through challenging conditions.
Explore the full project on:
Github: Analysis & Report Kaggle: Project Notebook
CO2 EMISSIONS PREDICTION
Machine Learning Model
Python | 2024
This project aims to analyse and predict CO2 emissions from vehicles using a machine learning model. By leveraging the CO2 emission dataset, we seek to build algorithms capable of accurately predicting vehicle CO2 emissions.
Explore the full project on:
Github: Analysis & Report Kaggle: Project Notebook
DIGIT RECOGNITION
Machine Learning Models
Python | 2024
In this project, we used SVM, Random Forest, and Decision Tree models to classify handwritten digits based on coordinate-based features.
Explore the full project on:
Github: Analysis & Report Kaggle: Project Notebook
INCOME LEVEL CLASSIFICATION
Machine Learning Models
Python | 2024
This project aims to predict whether an individual's annual income exceeds $50,000 using the "Adult" dataset from the 1994 Census Bureau.
Explore the full project on:
Github: Analysis & Report Kaggle: Project Notebook
RAISIN VARIETIES CLASSIFICATION
Machine Learning Models
Python | 2024
This project aims to classify two different varieties of raisins (Besni and Keçimen) grown in Turkey using their morphological features. Mainly, the goal is to better understand raisin varieties and increase classification accuracy.
Explore the full project on:
Github: Analysis & Report Kaggle: Project Notebook