Data Science Portfolio Projects UDACITY

Project 1 - Predicting Donors' Income using Supervised Learning

Description:
In this project, I employed several supervised algorithms to model individuals' income using data collected from the 1994 U.S. Census. I optimized the best algorithm to predict whether an individual makes more than $50,000.

Project Notebook: Finding Donors

Project 2 - Flower Image Classifier Application

Description:
I trained an image classifier to recognize different species of flowers, which could be incorporated into an app to tell the name of the flower a camera is looking at.

Project Notebook: Image Classifier

Project 3 - Identifying Customers Segmentations

Description:
I applied unsupervised learning techniques to segment customers based on demographics for a mail-order sales company in Germany. This segmentation helps direct marketing campaigns effectively.

Project Notebook: Customer Segmentations

Project 4 - Data Science Blog

Description:
I analyzed Stack Overflow developer survey data to create a comprehensive study of data science careers.

Project Notebook: Understanding the Career of Data Scientists
Blog Post: Understanding the Career of Data Scientist Using the Data Science Way

Project 5 - Disaster Response Pipeline

Description:
I built a machine learning pipeline that classifies messages into categories, integrated into a Flask application to display results and visualizations for emergency workers.

Project Notebook: ETL
Project Notebook: Machine Learning Pipeline
Disaster Response App

Project 6 - Recommendation System

Description:
I developed a recommendation engine using IBM communities articles and user interactions. This project serves as a prototype for IBM's article recommendation system.

Project Notebook: Recommendations with IBM