moe chabot's repositories
Image-Based-Airbnb-Pricing-Algorithm
Created a deep learning algorithm to predict the price of an Airbnb listing only from a picture from the listing
Algo-trading-basics
the S&P 500 is the worlds biggest stock market index and the index fund that follows the S&P has $250 billion under management. The goal of this projects is to weight the investments in each stock within the S&P based on there EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) project was inspired by this video https://www.youtube.com/watch?v=xfzGZB4HhEE&t=5055s
Stock-Market-Predictor-with-LSTM
will use historical stock data and LSTM to try and predict if a stock will go up or down in the next few days.(DO NOT BASE ANY INVESTMENT DECISION UPON THIS ALGORITHM)
Crossword-Puzzle-Generator-
This project tries to fill out any crossword puzzle(15 by 15) with a valid input in a manageable amount of time. I have scarped New York Times Crosswords for the past 20+ years however i can note share that data because of copyright issues i might run into, so in this notebook i will just be using a dictionary of English words.
kaggle-projects
a repo with all my kaggle projectshttps://www.kaggle.com/mchab18
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Appels-V.S.-Peaches
Created a classification algorithm that takes in an image of a apple or a peach and determines what it is. Used VGG16 pre trained on image net to get a vector representation of the image then fed the vector into a SVM
crossworder
solves crossword puzzles
Deep-ML
LeetCode Clone Tutorial | NextJS, TypeScript and Firebase
full-stack-ml-projects
A repo for all my ml projects
Heart-Disease-Feature-Importance-with-Gradient-Boosted-Trees
## Context This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4. ## Content **Attribute Information: ** - age = age in years - sex = (1 = male; 0 = female) - cp = chest pain type - trestbps = resting blood pressure (in mm Hg on admission to the hospital) - chol = serum cholestoral in mg/dl - fbs = (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false) - restecg = resting electrocardiographic results - thalach = maximum heart rate achieved - exang = exercise induced angina (1 = yes; 0 = no) - oldpeak = ST depression induced by exercise relative to rest - slope = the slope of the peak exercise ST segment - ca = number of major vessels (0-3) colored by flourosopy - thal = 3 = normal; 6 = fixed defect; 7 = reversable defect - target = 1 or 0 (1 being heart disease, 0 being no heart disease
hyperDB
A hyper-fast local vector database for use with LLM Agents. Now accepting SAFEs at $135M cap.
Machine-Learning-Value-Investing
look at all companies in the S&P 500 and try to predict whether or not it will beat the S&P. This will be done by first getting all the financial data from yahoo finance using the yahoo query library, then training a ML algorithm to predict weather or not the stock will beat the S&P in a year from the date the financial were published.
Moechine-Learning
My clone repository
Option-Pricing-and-volitivity-
this will be a work space where I read Option volatility and pricing strategies Book by Sheldon Natenberg and program each chapter
Rainbow-Poem
This is a repo for my poem.
tiny-vectorDB
A python library that allows you to make a vector database powered by tinygrad