denisond Goto Github PK

battleship

simple, two-player battleship game written in Python.

bengali-ai-starter

blackboard101

python files from the blackboard 101 series on world bitcoin network

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

cryptocompare-api

Jupyter Notebook with examples of useful CryptoCompare API calls

cryptocurrency_portfolio_sharpe_ratio_optimization

Python Jupyter notebook for sharpe ratio based cryptocurrency portfolio optimization using Monte-Carlo method

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep-learning-workflows

Easy and flexible workflows for a variety of deep learning problems.

deep_cat

Uses DL and GrabCut to segment images of cats

denisond.github.io

Personal website

engineerman

Code from the Engineer Man YouTube channel

flight-prices-scraper

Automated Script to scrape flight prices from any website into a csv format

hopper_dataset_problem

Jupyter notebook for hopper dataset problem

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

kaggle-house-price-notebook

Python Jupyter notebook for Kaggle machine learning competition--house price prediction

machine_learning

math_demos

math_projects

mlframework

ncaamb_elo

Python scripts generating NCAAMB Elo rating scores and custom plotly web app

news-publication-classifier

NLP project. EDA and model classifying author of news articles.

nyc-property-price-deep-learning-demo

Notebook demonstrating deep learning methods on property price data—e.g., neural network architecture search (NAS) for prediction (supervised) and denoising autoencoder NAS for latent feature engineering (unsupervised).

nycjazztonight

Live jazz calendar web app

segmentation-style-transfer

technical_analysis

A variety of technical analysis programs analyzing the price of securities.

time-series-model-comparison

IPython notebooks modeling Apple stock price data with machine learning, deep learning, and classical time series models.