moe18 Goto Github PK
Name: moe chabot
Type: User
Bio: Data Scientist ~> AI Researcher
Name: moe chabot
Type: User
Bio: Data Scientist ~> AI Researcher
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
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
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
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.
solves crossword puzzles
LeetCode Clone Tutorial | NextJS, TypeScript and Firebase
A repo for all my ml projects
## 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
A hyper-fast local vector database for use with LLM Agents. Now accepting SAFEs at $135M cap.
Created a deep learning algorithm to predict the price of an Airbnb listing only from a picture from the listing
Lab Materials for MIT 6.S191: Introduction to Deep Learning
a repo with all my kaggle projectshttps://www.kaggle.com/mchab18
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.
The Home for my Machine Learning Side Projects
approximation of integrals using the midpoint rule
My clone repository
Python module to pull historical financial data for securities using MorningStar.
predicts NBA games based on how a team plays in the seasons
this will be a work space where I read Option volatility and pricing strategies Book by Sheldon Natenberg and program each chapter
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.