Patrick McElroy
pmcelroy4
I'm Patrick! I'm a data scientist and recent graduate with a Master of Science in Data Science. Most of my data science work is done in Python and R.
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18
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12
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Top Repositories
Utilized Google's Gemini LLM to built a bot that summarizes pdf files.
My Programming Assignments from the MA 641 Time Series Analysis Course from Stevens Institute of Technology
Lead analysis project for a fictional company, ProfDev, which runs weekly webinars and seeks to identify high-potential prospects. Using engagement, survey responses, location, and lifecycle stage data, this project analyzes marketing interactions to surface the best leads for sales outreach.
Utilizing various ensemble machine learning models to accurately predict dermatology based on family history and clinical samples
Machine Learning Model with exploratory data anlaysis and housing price prediction based on various features.
Repositories
18Lead analysis project for a fictional company, ProfDev, which runs weekly webinars and seeks to identify high-potential prospects. Using engagement, survey responses, location, and lifecycle stage data, this project analyzes marketing interactions to surface the best leads for sales outreach.
Utilizing various ensemble machine learning models to accurately predict dermatology based on family history and clinical samples
Machine Learning Model with exploratory data anlaysis and housing price prediction based on various features.
No description provided.
Utilized Google's Gemini LLM to built a bot that summarizes pdf files.
No description provided.
Comparing and evaluating various regression algorithms to accurately predict car prices using data from kaggle.
Analyzed and manipulated Time Series data of Ethereum Stock Prices and implemented various Time Series Models to accurately fit and forecast the data.
Titanic Spaceship Kaggle Data Science Competition, full length data science project including cleaning and sorting data to accurately predict survival of spaceship passengers.
My Programming Assignments from the MA 641 Time Series Analysis Course from Stevens Institute of Technology
Given a dataset with text inputs, classify whether or not the news is real or fake based on the sentiment of the statements.
Using the XGBClassifier from sklearn to predict whether or not patients have Parkinson's. Model is trained and tested on the UCI ML Parkinson's dataset.
Given a dataset with automobile features with MPG as a target value, implement a linear regression model to accurately predict MPG.
Given a text file with numbers as keys and words as values: a decoding algorithm when presented with numbers in a pyramid format.
Given a list of numbers, this function will create a staircase of sublists. If the length of the list doesn't work for the function, it will return FALSE.
My Programming Assignments from the MA 544 Numerical Linear Algebra for Big Data Course from Stevens Institute of Technology
My Programming Assignments from the CS 583 Deep Learning Course from Stevens Institute of Technology
My Programming Assignments from the CPE 695 Applied Machine Learning Course from Stevens Institute of Technology