connorcapitolo
Machine Learning Engineer at OnCorps. Master's in Data Science from Harvard. Please contact me at connor.f.capitolo@gmail.com for any consulting inquiries.
Pinned Repositories
1806
18.06 course at MIT
2019-Titanic-Survival-Models
Predicting Titanic Survival Using Neural Networks and Hard/Soft Voting Classifiers
advex_notbugs_features
Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"
apollo_ad
an automatic differentiation package implementing forward and reverse mode created for Harvard AC207
Boston-Housing-Value-Models
Predicting Boston Housing Prices with Decision Trees, Random Forests, and Ridge/Lasso Regression
crypto_forecasting
Web app built on GCP that accepts real-time data from Binance and produces minute-by-minute predictions using a LSTM.
CS205_Recommender
Python vs Scala: Comparing speed, scalability and performance for a distributed movie recommender using ALS
Curry-Shot-Prediction
Predicting Whether Or Not Steph Curry Will Make a Shot Using Logistic Regression, LDA, AdaBoost, and Gradient Boosting
Neuroimaging-Research
Research for Vanderbilt's Neuroimaging & Brain Dynamics Lab
podcast_disagreements_detection
Study the detection of disagreement in Spotify podcast episodes based on audio data and automatic transcriptions. Applying unsupervised and supervised approaches for disagreement detection to evaluate whether combining prosodic and lexical features can improve detection over utilizing each individually.
connorcapitolo's Repositories
connorcapitolo/2019-Titanic-Survival-Models
Predicting Titanic Survival Using Neural Networks and Hard/Soft Voting Classifiers
connorcapitolo/Boston-Housing-Value-Models
Predicting Boston Housing Prices with Decision Trees, Random Forests, and Ridge/Lasso Regression
connorcapitolo/crypto_forecasting
Web app built on GCP that accepts real-time data from Binance and produces minute-by-minute predictions using a LSTM.
connorcapitolo/CS205_Recommender
Python vs Scala: Comparing speed, scalability and performance for a distributed movie recommender using ALS
connorcapitolo/Curry-Shot-Prediction
Predicting Whether Or Not Steph Curry Will Make a Shot Using Logistic Regression, LDA, AdaBoost, and Gradient Boosting
connorcapitolo/Neuroimaging-Research
Research for Vanderbilt's Neuroimaging & Brain Dynamics Lab
connorcapitolo/podcast_disagreements_detection
Study the detection of disagreement in Spotify podcast episodes based on audio data and automatic transcriptions. Applying unsupervised and supervised approaches for disagreement detection to evaluate whether combining prosodic and lexical features can improve detection over utilizing each individually.
connorcapitolo/1806
18.06 course at MIT
connorcapitolo/advex_notbugs_features
Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"
connorcapitolo/apollo_ad
an automatic differentiation package implementing forward and reverse mode created for Harvard AC207
connorcapitolo/2018-Titanic-Survival-Model
connorcapitolo/2020-ComputeFest
connorcapitolo/2021-ComputeFest
connorcapitolo/algodeck
An Open-Source Collection of 200+ Algorithmic Flash Cards to Help you Preparing your Algorithm & Data Structure Interview 💯
connorcapitolo/cpp-cheatsheet
Modern C++ Cheatsheet
connorcapitolo/CS107
connorcapitolo/cs107test
Used for AC 207 Homework 4 Problem 5
connorcapitolo/docker-for-data-science-tutorial
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
connorcapitolo/ESPN-50-Worst-PL-Transfers
Practicing web scraping, regular expression, and visualization skills
connorcapitolo/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
connorcapitolo/interviews
Everything you need to know to get the job.
connorcapitolo/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
connorcapitolo/mushroom-app
Mushroom App
connorcapitolo/NFL-Team-Similarity-Tool
connorcapitolo/playground
connorcapitolo/pycon-2017-eda-tutorial
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
connorcapitolo/Random-Password-Generator
connorcapitolo/Spaceship-Titanic
Playing Around With Kaggle's Spaceship Titanic dataset using Docker, GCP, XGBoost, Pipenv, Jupyter, and more!
connorcapitolo/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.