applied data science capstone presentation

Applied DataScience Capstone Project

Hey Everyone

In the final Course of the IBM Professional Data Science Certificate I had the chance to do an Applied Data Science Capstone Project with all of the knowledge that I gathered throughout this wonderful course. Attached Below are the Powerpoint Presentation, Final Report and Notebook of the Project. Here is the link to my Github .

Capstone Project Final Full Report by Robert on Scribd

PowerPoint Presentation

Capston Project Final FULL PPT PDF by Robert on Scribd

Winning Space Race with Data Science

November 1, 2022

This is the presentation of the capstone project in the IBM Data Science Professional Certificate .

Note that this presentation is much more detailed and technical than regular high-level and abstracted presentations for executive teams.

I assume the role of a Data Scientist working for a startup intending to compete with SpaceX , and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting results to stakeholders.

In this capstone, we will predict if the Falcon 9 first stage will land successfully, SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch.

Executive Summary

Introduction

Methodology

Data collection API notebook

Web scraping notebook

Data wrangling notebook

EDA with Visualization notebook

EDA with SQL notebook

Launch Sites Locations Analysis with Folium notebook

Interactive Dashboard with Ploty Dash

Machine Learning Prediction notebook

Insights Drawn from EDA

Launch Sites Proximities Analysis

Build a Dashboard with Plotly Dash

Predictive Analysis (Classification)

Conclusions

For notebooks, datasets and scripts, follow this GitHub repository link: Applied Data Science Capstone

Aaron Fanous among grads of nation’s first dual degree program in medicine and AI

MAY 16, 2024 — When Aaron Fanous graduates this month with both a Doctor of Medicine and a Master of Science in Artificial Intelligence (M.D./M.S. in AI), he will be among the few doctors in the country with a specialization in artificial intelligence.

He and fellow student Eri Osta are making history as the first graduates of the nation’s first known dual degree in medicine and artificial intelligence (AI), a collaboration between the Joe R. and Teresa Lozano Long School of Medicine at The University of Texas Health Science Center at San Antonio and UTSA’s University College. This groundbreaking program, launched in 2023, aims to prepare the next generation of physician leaders in health care through comprehensive training in applied artificial intelligence.

Originally from Tyler, Texas, Fanous’ ambition to become a doctor was inspired by his father's gastroenterology practice, where he witnessed firsthand the profound impact of medical decisions on people's lives. After completing his bachelor’s degree in chemistry at Rice University, Fanous chose The University of Texas Health Science Center at San Antonio (UT Health San Antonio) for its esteemed reputation, collaborative atmosphere and strategic location.

“Going through the M.D./M.S. in AI program was an extraordinary experience.”

During his third year of medical school, Fanous seized the opportunity to enroll in the new dual-degree program, driven by his interest in integrating technology and medicine. Recognizing the slower adoption of AI in health care due to patient privacy concerns, Fanous aimed to pioneer AI applications that enhance patient care and streamline administrative tasks for medical professionals.

“I feel like I was in the right place at the right time in history to have been given the opportunity to enroll in the M.D./M.S. in AI program and get formal education in both fields,” Fanous said. “My mission now is to focus on problems that can be solved with AI and to help other doctors learn how AI and related technologies can benefit their practice, their patients and even their own quality of life.”

For example, AI can optimize many time-consuming administrative tasks, like appointment scheduling and summarizing patients’ charts so that doctors and their staff can spend more time on patient care. Additionally, artificial intelligence can be trained to process medical data to find certain information, for example identifying abnormalities in images generated by X-rays and MRI scans.

The M.S. in AI program is based at UTSA while the M.D. is offered by UT Health San Antonio.

The program’s project-based learning approach proved invaluable for Fanous, allowing him to apply what he was learning in class to solve real-world problems.

“One of the biggest highlights of the program was when I first successfully trained a skin lesion identification model,” he said. “It was exhilarating to have something you make work. Another highlight was taking the work I was doing for school and then building them for presentations and research purposes. This opened my eyes to the amount of work that goes into not only building models, but robustly preparing them for practical use.” 

The curriculum for the MS in AI degree was developed by Dhireesha Kudithipudi , UTSA’s Robert F. McDermott Chair in Engineering, director of the UTSA Neuromorphic Artificial Intelligence Laboratory, and an internationally recognized scholar on the nexus of AI and human well-being.

Referring to Kudithipudi as “a superstar in the AI world,” Fanous credits her for creating the foundation for the robust and meaningful learning experiences in AI that strategically complemented his medical training.

For his capstone project, Fanous worked with UT Health San Antonio radiologist Kal Clark, M.D. to develop an AI model that produces radiology reports from images that can detect and describe what is in the image. In addition, he is exploring methods to optimize the model so it uses less memory while still adhering to security standards so that more clinicians will be able to use this type of technology. Lastly, he is working on a new evaluation metric that more closely aligns AI-generated reports to the radiologist.

Beyond his academic pursuits, Fanous was part of two teams that competed in the 2023 and 2024 Draper Data Science Business Plan Competitions hosted by the UTSA School of Data Science. The ventures, Aptitude Medical Modeling and SilentSiren, garnered accolades and funding for their innovative health care solutions.

Prior to pursuing a medical residency, Fanous will embark on a one-year postdoctoral position at Stanford University’s Department of Biomedical Science, furthering his training and contributions to medical AI research.

“Going through the M.D./M.S. in AI program was an extraordinary experience,” Fanous said. “Learning to build and develop these AI-powered systems for medical use has helped me understand what is important to both fields and will allow me to bridge the gap between technological innovation and medicine to improve lives.” 

— KC Gonzalez

UTSA Today is produced by University Communications and Marketing , the official news source of The University of Texas at San Antonio. Send your feedback to [email protected] . Keep up-to-date on UTSA news by visiting UTSA Today . Connect with UTSA online at Facebook , Twitter , Youtube and Instagram .

Roadrunner Walk

Roadrunner Walk is an event for graduating students to have a memorable walk on campus to celebrate an important milestone and their achievements. Graduates will walk along the Paseo while being celebrated by the UTSA community, friends, and family members.

Willie Velásquez: Su Voz – A Plática

Join us for a tribute to Willie Velásquez, honoring the legacy of Willie Velásquez, a pivotal figure in shaping the history of Latino and Hispanic participation in the American voting process. Delve into his life and contributions as a champion of Latino voting rights. Moderated by UTSA's Teresa Niño, the event will feature influential voices, including Jane Velásquez, María Antonietta Berriozábal, Dora Oliva, and Anthony Gonzales.

Commencement: Ceremony One

Celebrate the accomplishments of College of Education and Human Development, College for Health, Community and Policy, College of Sciences and University College.

Commencement: Ceremony Two

Celebrate the accomplishments of Alvarez College of Business, College of Liberal and Fine Arts and Klesse College of Engineering and Integrated Design.

Submit an Event

University of Texas at San Antonio receives ‘transformational’ $40M gift

Utsa’s mission.

The University of Texas at San Antonio is dedicated to the advancement of knowledge through research and discovery, teaching and learning, community engagement and public service. As an institution of access and excellence, UTSA embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property - for Texas, the nation and the world.

UTSA’s Vision

To be a premier public research university, providing access to educational excellence and preparing citizen leaders for the global environment.

UTSA’s Core Values

We encourage an environment of dialogue and discovery, where integrity, excellence, inclusiveness, respect, collaboration and innovation are fostered.

UTSA’S Destinations

• UTSA will be a model for student success
• UTSA will be a great public research university
• UTSA will be an innovative place to work, learn and discover

UTSA is a proud Hispanic Serving Institution (HSI) as designated by the U.S. Department of Education .

Our Commitment to Inclusivity

The University of Texas at San Antonio, a Hispanic Serving Institution situated in a global city that has been a crossroads of peoples and cultures for centuries, values diversity and inclusion in all aspects of university life. As an institution expressly founded to advance the education of Mexican Americans and other underserved communities, our university is committed to promoting access for all. UTSA, a premier public research university, fosters academic excellence through a community of dialogue, discovery and innovation that embraces the uniqueness of each voice.

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This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX.

farishelmi17/Applied-Data-Science-Capstone-SpaceX

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Introduction

SpaceX is a revolutionary company who has disrupt the space industry by offering a rocket launches specifically Falcon 9 as low as 62 million dollars; while other providers cost upward of 165 million dollar each. Most of this saving thanks to SpaceX astounding idea to reuse the first stage of the launch by re-land the rocket to be used on the next mission. Repeating this process will make the price down even further. As a data scientist of a startup rivaling SpaceX, the goal of this project is to create the machine learning pipeline to predict the landing outcome of the first stage in the future. This project is crucial in identifying the right price to bid against SpaceX for a rocket launch.

Table of Contents

• Data Collection with API
• Data Collection with Web Scraping
• Data Wrangling
• EDA with SQL
• EDA with Visulaization Lab
• Interactive Visual Analytics with Folium
• Dashboard Application (Code)
• Predictive Analysis - Machine Learning Lab
• Final Presentation (Slide)

Acknowledgements

© copyright ibm corporation 1994, 2022., © muhammad faris kamal 2022.

• Jupyter Notebook 99.8%
• Python 0.2%