The Nasdaq-100 is a stock market index that tracks the equity shares of 100 of the largest non-financial firms, both domestic and foreign, that trade on the Nasdaq exchange. It uses a modified capitalization-weighted structure. The average year-over-year return of the Nasdaq-100 over the last 10 years is 20.7% with a cumulative return of 558.8%. […] The post Optimizing ROI for NASDAQ-100 Companies first appeared on Data Science Blog ..read more

We’re not born with our skills. We have to work at attaining them and look to others who have already gained mastery for guidance. That’s why I’m sharing my own personal struggle to master SQL and what I discovered along the way as a way to help others who have to face the same challenges. […] The post Mastering SQL: Drawing on My Learning Journey for a Practical Guide first appeared on Data Science Blog ..read more

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 post Python EDA Project : Salary Prediction. first appeared on Data Science Blog ..read more

Segmentation and Classification Strategy Boost CD Deposits Overview A term deposit or certificate of deposit (CD) or time deposit is a type of savings account offered by financial institutions. It features a lock-up period that can range from as little as 1 month to several years and provides a better interest rate than traditional bank […] The post Data-Driven Strategies to Boost Bank Term Deposits and Customer Loyalty first appeared on Data Science Blog ..read more

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 […] The post The quest for R^2 ROI on Home Improvements first appeared on Data Science Blog ..read more

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 […] The post Moneyball for Movies first appeared on Data Science Blog ..read more

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 […] The post Music Analysis with Python first appeared on Data Science Blog ..read more

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 […] The post Building a Titanic Classifier with End-to-End Machine Learning Pipeline first appeared on Data Science Blog ..read more

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 […] The post TwilioGPT modernizing telephone and voice systems using LLMs and NLP first appeared on Data Science Blog ..read more

#generated image of broadway theater by DALL-E Broadway Shiny App   Discovering Broadway Until two years ago, the world of musicals and Broadway was completely foreign to me. Having spent most of my life immersed in music, particularly jazz and orchestral music, I saw anything outside of these genres as mere entertainment for the masses. […] The post Behind the Curtains: Insights into NYC Broadway Shows first appeared on Data Science Blog ..read more