moe18 Goto Github PK

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

algo-turtle

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

controls_challenge

crossword-creator

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.

crossword_open_gen

crossworder

solves crossword puzzles

d0mbpy

deep-ml

LeetCode Clone Tutorial | NextJS, TypeScript and Firebase

deepmleet

full-stack-ml-projects

A repo for all my ml projects

hands-on-with-huggingface

hands-on-with-ml-worksheet

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.

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

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle-evaluating-student-writing

kaggle-projects

a repo with all my kaggle projectshttps://www.kaggle.com/mchab18

m-science-interview

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.

machine_learning

The Home for my Machine Learning Side Projects

midpoint-rule

approximation of integrals using the midpoint rule

moechine-learning

My clone repository

morningstar

Python module to pull historical financial data for securities using MorningStar.

nba_game_pprediction

predicts NBA games based on how a team plays in the seasons

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

order-volume-predictor-