waith's repositories
TensorFlow_for_Neural_Networks_and_Deep_Learning
Consists of Jupyter Notebooks running TensorFlow with Keras to build and execute neural networks.
traffic-light-classifier_faster-r-cnn
Traffic Light Classifier using Faster R-CNN: Using TensorFlow Object Detection API, I will walk you all through on how I built a traffic light classifier in Programming a Real Self-Driving Car.
TensorFlow
Project containig related material for my TensorFlow articles
sunny_street_data_modelling
R scripts that I used for the Sunny Street Datathon
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Tutorials
Ipython notebooks for math and finance tutorials
sunnystreet
A git repo for #VizForSocialGood Datathon for Sunny Street
DL0110EN
Deep Learning with Python and PyTorch
qld_car_crash_data
Location and characteristics of crashes within Queensland for all reported Road Traffic Crashes
AEMO
python script to scrap AEMO data
AI-Crash-Course
AI-Crash-Course, published by Packt
WineQuality
Predict the quality of white and red wine from the UCI Machine Learning Repository dataset, provided by Paulo Cortez, University of Minho, Guimarães, Portugal, http://www3.dsi.uminho.pt/pcortez A. Cerdeira, F. Almeida, T. Matos and J. Reis, Viticulture Commission of the Vinho Verde Region(CVRVV), Porto, Portugal
AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
PDSwR2
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2
ddd-sydney-2019
Snippets from my big data talk at DDD Sydney 2019
Advanced-Data-Science-with-IBM
As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.
dlaicourse
Notebooks for learning deep learning
TheMostImportantChart
Exploring the historical returns of S&P 500
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
datasharing
The Leek group guide to data sharing
ADPE2E
Azure Data Platform End-to-End