A collection of machine learning projects and coursework covering core concepts from data preprocessing to advanced modeling techniques across supervised, unsupervised, and deep learning.
This work was completed as part of the Bertelsmann Tech Scholarship program on Udacity, awarded based on demonstrated performance and engagement.
Projects focused on prediction and classification tasks using labeled data.
- Finding Donors for CharityML Classification project to identify potential donors based on demographic and financial data.
Projects exploring neural networks and representation learning.
- Image Classifier Project Flower image classification using deep learning techniques.
Projects focused on discovering patterns in unlabeled data.
- Customer Segmentation Clustering techniques applied to identify distinct customer groups.
This repository reflects my ongoing development in machine learning. Earlier work has been revised to improve understanding, code quality, and structure.
Projects have been updated by transitioning from TensorFlow to PyTorch, along with refinements for clarity and consistency.
The repository will continue to evolve with additional projects and improvements.