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Handwritten Digit Recognition with Neural Network

In this project I used TensorFlow to create a Machine Learning model that accurately predicts handwritten digits. I used the MNIST dataset via the TensorFlow API - a dataset commonly used to learn and explore the features of TensorFlow. The overall objective of this project was to use a neural network to create an ML model that would accurately predict various handwritten digits.

Applied Data Science Capstone Project

The project represents the collective Data Science Capstone Project from my IBM Data Science Certification. The purpose of this project is to demonstrate my ability to deliver a project presentation.

Decision Tree Classification for Drug Treatment

For this project, I had a dataset of patient attributes and was tasked with using a Decision Tree Classifier to see if I could accurately predict which drug a new patient should receive based on the attributes they held.

Data Collection via Webscraping

As a part of my Applied Capstone Project, I had to collect data from the SpaceX Wiki via web scraping.

Exploratory Data Analysis with SQL

As a part of the Applied Capstone Project, I was tasked with analyzing data using SQL queries. As a prompted project, the queries were meant to demonstrate proficiency in SQL.

Interactive Dashboard Example

For this project, I chose to create an interactive dashboard that displays Formula 1 Driver Lewis Hamilton's Qualifying lap times based on the Grand Prix and Year selected

Data Visualization Examples

I created this "project" to demonstrate my capabilities with various Data Visualization techniques.

Data Collection via API

As a part of the Capstone Project, I was tasked with creating a Machine Learning Pipeline that would accurately predict if the first stage of a SpaceX launch will land safely. To begin, I had to collect data from the SpaceX API.

Data Wrangling

As a part of my Applied Capstone Project, I was tasked with analyzing and cleaning the SpaceX Launch Data

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