Pinned Repositories
amzn_scraper
simple amazon scraper
Boston_Crime_Analysis
Capstone Project for Analytics Systems Technology
Brightwork
This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.
css_help
J Millz Helping me with CSS
data-science-wg
SF Brigade's Data Science Working Group.
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
OpenAI-Retro-SuperMarioWorld-SNES
This project contains my implementation of the NEAT-Python algorithm to use a recurrent neural network that enables an AI-controlled Mario to train itself to complete levels in "Super Mario World" on SNES. I used the gym-retro-integration program to create my own variables from the game's RAM values and then used those variables to reward/penalize the AI. If the AI complete's a level, the neural network is saved as the winner.
TheGreenRush
Creating equity one repo at a time
Kiddxtrizz's Repositories
Kiddxtrizz/data-science-wg
SF Brigade's Data Science Working Group.
Kiddxtrizz/OpenAI-Retro-SuperMarioWorld-SNES
This project contains my implementation of the NEAT-Python algorithm to use a recurrent neural network that enables an AI-controlled Mario to train itself to complete levels in "Super Mario World" on SNES. I used the gym-retro-integration program to create my own variables from the game's RAM values and then used those variables to reward/penalize the AI. If the AI complete's a level, the neural network is saved as the winner.
Kiddxtrizz/amzn_scraper
simple amazon scraper
Kiddxtrizz/Boston_Crime_Analysis
Capstone Project for Analytics Systems Technology
Kiddxtrizz/css_help
J Millz Helping me with CSS
Kiddxtrizz/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Kiddxtrizz/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Kiddxtrizz/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Kiddxtrizz/TheGreenRush
Creating equity one repo at a time
Kiddxtrizz/DeepReinforcementLearningInAction
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Kiddxtrizz/firebrand-landing-page
Kiddxtrizz/flask-framework
Basic template for using Flask on Heroku
Kiddxtrizz/GreenRushWebApp
Simple Web App
Kiddxtrizz/Hands-on-Neuroevolution-with-Python
Hands-on Neuroevolution with Python, Published by Packt
Kiddxtrizz/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Kiddxtrizz/instructions_page
Kiddxtrizz/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Kiddxtrizz/MyPortfolio-Project
Kiddxtrizz/open-source-cs
Video discussing this curriculum:
Kiddxtrizz/portfolio_tw
Welcome to my portfolio
Kiddxtrizz/project_milestone_TW
Milestone project leveraging several concepts and technologies from the 12-day course provided by The Data Incubator, including Git, Streamlit, JSON, Pandas, Requests, Heroku, and Bokeh | Altair | Plotly for visualization.
Kiddxtrizz/ptan
PyTorch Agent Net: reinforcement learning toolkit for pytorch
Kiddxtrizz/pumpkin-scraper
Kiddxtrizz/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Kiddxtrizz/pythonds
Data Structures package for Problem Solving with Algorithms and Data Structures using Python
Kiddxtrizz/sample-flask-app
boiler plate flask app
Kiddxtrizz/SchoolFun
Strictly for school purposes
Kiddxtrizz/streamlit-framework
Basic template for using Streamlit on Heroku
Kiddxtrizz/Time-Series-Analysis-Predicting-Temperature
This project uses two models to predict the temperature using time series technique. It starts with building a group-by estimator that takes an estimator factory. The estimator factory is a collection of estimators for each city. In this case, each city's estimator is only fitting into its own data and make corresponding predictions. The first model simply uses the random forest models to predict each city's temperature. Another model used is a Fourier model that captures the seasonal features. Using month and hour, the group estimator is making better predictions for each city.
Kiddxtrizz/Titanic