danovad Goto Github PK

ames-housing

This repo is intended to be a simple modeling example to test model organization. The premise is to order a modeling pipeline into 4 categories: (1) cleaning, (2) feature engineering, (3) modeling, (4) evaluation.

california-coronavirus-data

The Los Angeles Times' independent tally of coronavirus cases in California.

conways-game-of-life

Playing around with Conway's Game of Life using numpy and matplotlib. Generated GIFs using matplotlib animation.

covid-19

A collection of work related to COVID-19

covid-hotspots

Coronavirus dashboard using data from the NYT and the Atlantic. The dashboard is deployed to Heroku using Dash and Plotly. The data are processed daily using GCP Cloud Functions and hosted on Google Cloud Storage.

danovad.github.io

Portfolio Page to present projects and blogs

effingvote

folium-firemap

github-network-analysis

Using GitHub API v3 and pyGitHub to retrieve data and generate a network graph of users based on other followings/followers.

reddit-nlp

NLP classification problem between r/datascience and r/machinelearning

us-coronavirus-hotspots

us-wildfire-causes

Predicting the cause of wildfires using data from the Fire Protection Agency Fire Occurrence Dataset. Determining natural vs human caused fires. Used a KNN classifier, with 92% accuracy with a baseline of around 80%.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS

youtube-channel-analysis

Generate and plot a graph of YouTube channels by crawling over featured channels. Using NetworkX, Plotly, and Dash for analysis and interaction; YouTube Data API v3 for data collection, and; GCP to host using app-engine.