Pinned Repositories
Ames_Housing
Ames, Iowa Housing Dataset
Blur_project
canned_tuna
Marketing analysis of Tuna dataset from R pkg Bayesm
Codecademy
Toys from Codecademy Python course
CrossChainArbitrageBot
Cross Chain Arbitrage Bot Powered by Paraswap
dog-breed-classifier-1
A fun project to classify dog breeds using deep learning
Facebook-Prophet-El-Nino
Created an example to use Facebook's Prophet API for time-series forecasting
Lottery-Tracker
Uses OpenCV and Python to read lottery tickets and track your numbers
Unet-for-Satellite
Unet model for classifying objects on Satellite Images
justinishikawa's Repositories
justinishikawa/Unet-for-Satellite
Unet model for classifying objects on Satellite Images
justinishikawa/Lottery-Tracker
Uses OpenCV and Python to read lottery tickets and track your numbers
justinishikawa/Ames_Housing
Ames, Iowa Housing Dataset
justinishikawa/Blur_project
justinishikawa/canned_tuna
Marketing analysis of Tuna dataset from R pkg Bayesm
justinishikawa/Codecademy
Toys from Codecademy Python course
justinishikawa/CrossChainArbitrageBot
Cross Chain Arbitrage Bot Powered by Paraswap
justinishikawa/dog-breed-classifier-1
A fun project to classify dog breeds using deep learning
justinishikawa/Facebook-Prophet-El-Nino
Created an example to use Facebook's Prophet API for time-series forecasting
justinishikawa/FlashMintArbitrage
An example of a Flash Mint powered arbitrage between a flash mint DEX, Kyber and Uniswap.
justinishikawa/Kaggle-Cheltenham-Crime-Data
Kaggle dataset on crime in Cheltenham-EDA approach
justinishikawa/Kaggle-Credit-Card-Fraud
Kaggle supplied dataset of Credit Card Fraud Examples with PCA features
justinishikawa/Kaggle-NYC-Taxi
EDA Notebook for Kaggle NYC Competition
justinishikawa/Machine-Learning-in-Spark
Course labs from Berkeley course on Spark and Machine Learning(Mllib and SparkML)
justinishikawa/pelican-mg
A responsive, minimal theme for Pelican that uses UIkit.
justinishikawa/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
justinishikawa/python-guide
Python best practices guidebook, written for Humans.
justinishikawa/pytorch_learning
justinishikawa/solana_interview_Qs
justinishikawa/Spark-exercise-problems
Course labs from Berkeley course on Spark, written in jupyter notebooks
justinishikawa/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
justinishikawa/TSAsolutions
Solutions to the problems in Time Series Analysis with Applications in R
justinishikawa/UChicago_ML
ipython notebooks for UChicago machine learning class, fall 2017
justinishikawa/xwbinarify
Extract a matrix of binary values (white and black shaded squares) from crossword image