Steve Doss's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
awesome-public-datasets
A topic-centric list of HQ open datasets.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-web-scraping
List of libraries, tools and APIs for web scraping and data processing.
ChatGPT-System-Prompts
This repository contains a collection of the best system prompts for ChatGPT, a conversational AI model developed by OpenAI. Star this repository to help us reach 5,000 stars!
covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
data-science
:bar_chart: Path to a free self-taught education in Data Science!
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
finnhub-python
Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals and alternative data. https://finnhub.io/docs/api
hello-world
My second repository. Getting started! Excited!
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
kedro
A Python framework for creating reproducible, maintainable and modular data science code.
matplotlib
matplotlib: plotting with Python
noria
Fast web applications through dynamic, partially-stateful dataflow
Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
PracticalDeepLearningPython
Source code for the book "Practical Deep Learning: A Python-Based Introduction" (No Starch Press)
public-apis
A collective list of free APIs for use in software and web development.
pybotics
The Python Toolbox for Robotics
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python-Data-Cleaning-Cookbook
Python Data Cleaning Cookbook, published by Packt
python-guide
Python best practices guidebook, written for humans.
recipe-scrapers
Python package for scraping recipes data
Relativty
An open source VR headset with SteamVR supports for $200
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins and options).
tickerrain
Website that displays in real time tickers being processed by different sources.