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Lending Club Dataset Analysis | Data Science Blog
Lending Club Dataset Analysis: Insights for Investors Author: Hunter DeRouen Date: October 2024 Introduction As part of the NYC Data Science Academy Bootcamp, this project explores key insights from the Lending Club dataset. Lending Club is a peer-to-peer lending platform that allows individuals to lend money directly to other individuals, creating a direct connection between
Clustering Artworks by Ai-Quantified Visual Qualities & Content Recommendation App | Data Science Blog
By Gabriel del Valle 10/08/24 www.linkedin.com/in/gabrielxdelvalle Introduction One of the most transformative ways that Data Science has brought value to major web platforms like Amazon and Spotify is modeling user preferences to make recommendations which the user finds relevant. For content driven platforms like TikTok or Meta, the quality of their recommendation algorithm is
Forecasting NY State Tax Credits: R Shiny App for Businesses
Introduction Background Many New York State corporations find it worthwhile to investigate tax laws to determine possible credit eligibility under Article 9-A (Franchise Tax on Business Corporations) of the New York State Tax Law. As mandated by the Business Tax Reform and Rate Reduction Act of 1987 Section 109(a), all corporations (except LLCs, Subchapter S
US Honey Production Analysis With Python (1998-2012) | Data Science Blog
Introduction One of the things I like most about living in Eastern Washington is gardening. While I enjoy growing produce and flowers for myself, I also think about what will attract bees. They serve a vital function for gardeners as pollinators. Also seeing swarms of bees on a hot summer day and listening to their
Python EDA Project : Salary Prediction. | Data Science Blog
Introduction: Salary prediction is a crucial application of machine learning and statistical modeling that aims to estimate the salary of an individual based on various factors like age, education, and experience. Accurate salary predictions are valuable for job seekers, employers, and policymakers. The objective of this project is to analyze factors affecting salary predictions. I explored
The quest for R^2 ROI on Home Improvements | Data Science Blog
Link to GitHub https://github.com/jackparsons93/Ames_Housing_ML As a house is often the biggest purchase many of us will make, we want to be certain about its value and be strategic about improvements we make with the intent to sell at a profit. Using the Kaggle Ames Housing set, I applied machine learning with the aim of
Moneyball for Movies | Data Science Blog
Link to the project https://christopherwilson.shinyapps.io/hello_shiny/ Link to github https://github.com/jackparsons93/r_shiny_imdb_movies Say, you want to produce a movie. What can you do to put the odds of success in your favor? You can look at the features of other successful movies and then plan to apply them to the one you’re producing. That’s the goal of
Music Analysis with Python | Data Science Blog
Chris Wilson Link To Github https://github.com/jackparsons93/music_project As someone trained in classical music, I sought to apply data science to that discipline using Python. I used it to explore two questions about composition and to develop a motif detector. For this project, I referred to works by Bach, Mozart, and Beethoven. The questions I
Building a Titanic Classifier with End-to-End Machine Learning Pipeline | Data Science Blog
In this blog post, I’ll guide you through the creation of an end-to-end machine learning pipeline using the Titanic dataset. This project was developed as part of a technical interview, focusing on data exploration, preprocessing, model selection, evaluation, and deployment. Additionally, the project ideation includes a fully automated model training and selection pipeline that streamlines
TwilioGPT modernizing telephone and voice systems using LLMs and NLP | Data Science Blog
By Chris Wilson Link to Github https://github.com/jackparsons93/RAG_to_riches This is the blog for my capstone project using sound recognition and the Twilio API along with the OpenAI API to create interactive voice assistants. The first chatbot in my presentation uses a script called twilly.py. Twilly.py is a very primitive chatbot that uses ChatGPT to answer
NYC Animated Traffic Maps and Branch Analysis | Congestion Zone | Congestion Zone
NYC Animated Traffic Maps and Branch Analysis July 28th 2024 By Gabriel del Valle www.linkedin.com/in/gabrielxdelvalle Introduction A sweeping economic change looms over Manhattan, creating new considerations for all manner of businesses and workers alike, until... On June 5 2024, in the final hours before Manhattan's Congestion Relief Zone became law -- the policy
Modeling Valuation Multiples of Companies with Gradient Boost | Data Science Blog
Motivation The main goal of a financier in investment management is to build and manage a portfolio with a strong return on investment that ideally outperforms the market. One of the most central concepts to constructing robust stock portfolios is relative valuation. That is looking at how a publicly traded company is valued compared to
ML Topic Modeling with Transformers & LLMs | Data Science Blog
Investors and financial advisors spend thousands of hours pouring over company reports to understand a company’s potential vulnerabilities. Utilizing machine learning algorithms to read and interpret reports for them could save them most of that time and significantly increase productivity. What was merely a dream of possibilities a couple of years ago is now becoming
Open AI-based Hotel Recommendation System | Data Science Blog
Introduction Have you ever felt limited by the search options in common travel websites? In the age of AI, personalized experiences are becoming the norm rather than the exception. To harness the power of AI for travel planning, I developed an advanced hotel recommendation system using OpenAI. This system gives users the opportunity to express
Artificial Intelligence: The Good, The Bad, The Ugly | Data Science Blog
In the last few years Artificial Intelligence (AI) has claimed its space in our everyday life. My first reaction was hesitance and annoyance. After all, who likes talking to a machine when you are trying to speak to a human to make a doctor appointment or get your car fixed? I, however, learned to live
Automated Data Extraction and Transformation Using Python, OpenAI, and AWS | Data Science Blog
Introduction In this project, we aim to scrape information from assorted websites, store the unrefined data, utilize OpenAI for cleaning and processing said data, and ultimately store the final result. Tools Used GitHub: For version control and collaboration. AWS: Utilizing services like Lambda, CodePipeline, CodeBuild, CloudFormation, S3, Step Functions, EventBridge Scheduler, and Simple Notification Service
What is Open AI's Sora? How it Works, Use Cases, Alternatives & More | Data Science Blog
OpenAI currently introduced its modern-day groundbreaking tech—Sora. this text-to-video generative AI version looks exceedingly fantastic to date, introducing a few huge ability across many industries. here, we discover what OpenAI’s Sora is, how it works, a few potential use cases, and what the destiny holds. What is Sora? Sora is OpenAI's textual content-to-video generative AI
Ames housing | Data Science Blog
Introduction Purchasing a home can be one of the biggest decisions of a persons life. A mortgage can last a lifetime and determining if one wants to incur that debt is crucial in the home buying process. A multitude of factors go into the decision making process, and clearly home price is one of the
#Student Learning on Artificial Intelligence (AI) | Data Science Blog
Introduction Artificial Intelligence (AI) has emerged as one of the most dynamic and rapidly evolving fields in modern technology. With applications ranging from industrial automation to data analysis and facial recognition, AI has the potential to revolutionize various aspects of human life. For students, learning AI not only provides insights into cutting-edge technology but also
A Legion of IIT-M’s Data Science Scholars Garner Global University Accolades | Data Science Blog
In a resplendent testament to academic prowess, 850 intrepid scholars enrolled in IIT-M’s Bachelor of Science in Data Science program have garnered prestigious invitations from illustrious global universities such as Harvard. This remarkable feat underscores not only the academic rigor of the program but also the unparalleled dedication and intellectual fervor of its students of
Pereda | Data Science Blog
Understanding 8-K Filings: A Dive into Corporate Events In the dynamic realm of finance, staying abreast of corporate events is paramount for investors aiming to make informed decisions. Each significant corporate occurrence triggers a flurry of disclosures that must be meticulously documented in what are known as 8-K filings. These filings, mandated by the US
Beyond the Podium: A Global Journey Through Formula 1 History
Introduction I first got hooked on Formula One during the COVID-19 pandemic. Since 2021, I’ve moved from just watching the Netflix show (Drive to Survive) to reading about it. This sport is exciting because of its fast races and the history of great drivers and teams. Finding it endlessly fascinating, I decided to research
Beware of Feature Importance for Business Decisions | Data Science Blog
Machine learning (ML) prediction models aren’t just used to predict one particular outcome. Sometimes the goal is to understand how variables in a complex system interact to produce an outcome. In real estate, for example, investors might use a model that predicts home value to understand how a variety of home characteristics (aka features) like
Detecting Pneumonia from Chest X-Rays: A Deep Learning Approach | Data Science Blog
Pneumonia, a common respiratory infection characterized by inflammation of the lungs, continues to be a leading cause of morbidity and mortality worldwide, particularly among vulnerable populations such as young children, the elderly, and individuals with compromised immune systems. Prompt and accurate diagnosis of pneumonia is essential for initiating appropriate treatment and preventing severe complications. However,
How to increase chances of success when flipping homes? | Data Science Blog
Github Slides Introduction In this project, I am an Iowa-born, real estate flipper and I’m looking for a data-driven model to maximize the return on my investment. To achieve that goal, I need to answer these research questions: How can we identify undervalued homes using data? What are the important levers for sale prices, and are