yaowser's repositories
learn-spark
Code and Files from Lynda.com, IBM cognitiveclass.ai, O'Reilly's Definitive Guide, Databricks tutorials and EDX Cloud Computing, Structured Streaming, Unified Analytics Integration, End-to-End Applications
python-chess
python chess presentation Distribution of chess wins: black and white expected values from random moves From 500k chess matches, is it statistically significant that White wins from random moves simply because it goes first?
audio-separation
Audio Separation Comparison: Clustering Repeating Period and Hidden Markov Model: Machine Learning Comparison Project
basic_blockchain
A basic blockchain implementation notebook Distributed ledger technology over a network of computers, which provides an alternative to the centralized system Distributed Database Peer-to-Peer Transmission Transparency with Pseudonymity Records are immutable Computational Logic
data_mining_group_project
SMU data mining group project
DataMiningNotebooks
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
DDS-Case-Study-1
This depository is Case Study 1 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-Case-Study-1" for short. Author: Yao Yao. This project was submitted through GitHub on RStudio version 1.0.136.
DDS-Case-Study-2
This depository is Case Study 2 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-Case-Study-2" for short. Author: Yao Yao/Robert Flamenbaum. This project was submitted through GitHub on RStudio version 1.0.136.
DDS-HW6
This depository is Homework 6 for Doing Data Science 6306 Section 401 Tuesdays at 9:30 - 11:00 PM EST, Cohort 2017 Spring semester at SMU -- "DDS-HW6" for short. Authors: Yao Yao, Jason Cessna, Steven Stevenson. This project was submitted through GitHub on RStudio version 1.0.136.
Google-Forms-to-Discord
A quick way to automatically send Google Form responses to a Discord channel
LDA-PCA-Lumosity-Categorical-Prediction
Data Reduction and Classification for Lumosity Data
learn-processing-3
Attached are some cool visualizations created from Processing3 (pseudo-java) code (from 2+ books and their github page). All credit goes to Ira Greenberg, et al.
logistic-regression-employee-turnover
logistic prediction for kaggle competition
MLR-iowa-housing
House Prices: Advanced Regression Techniques: 0.10572 Kaggle Score
MSDS-6306-job-scraper
Cybercoders job scraper
newproject
new