Pinned Repositories
art-images
Art Image Classification
coding-practice
A notebook and a place to gather my thoughts regarding coding
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
dlaicourse
Notebooks for learning deep learning
forest-cover-type
Forest Cover Type Classification
mugshots
An art project using generative adversarial network (GAN)
news-content-capstone-project
Analyzing news content whether its authenticity or not
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
stretchyIk
initial version of a simple cartoon stretch IK - Maya 2017
sandgate-dev's Repositories
sandgate-dev/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
sandgate-dev/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
sandgate-dev/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sandgate-dev/dsc-3-28-15-amazon-recommendation-system-online-ds-ft-100118
sandgate-dev/dsc-3-34-09-principle-component-analysis-in-scikitlearn-lab-online-ds-ft-100118
sandgate-dev/dsc-3-34-10-PCA-and-digital-image-processing-online-ds-ft-100118
sandgate-dev/dsc-3-34-12-facial-recognition-with-pca-and-eigenfaces-lab-online-ds-ft-100118
sandgate-dev/dsc-3-35-03-k-means-clustering-online-ds-ft-100118
sandgate-dev/dsc-3-35-04-k-means-clustering-lab-online-ds-ft-100118
sandgate-dev/dsc-3-35-05-hierarchical-agglomerative-clustering-online-ds-ft-100118
sandgate-dev/dsc-3-35-06-common-problems-with-clustering-online-ds-ft-100118
sandgate-dev/dsc-3-35-08-market-segmentation-with-clustering-online-ds-ft-100118
sandgate-dev/dsc-3-35-09-market-segmentation-with-clustering-lab-online-ds-ft-100118
sandgate-dev/dsc-3-35-10-semi-supervised-learning-and-look-alike-models-online-ds-ft-100118
sandgate-dev/dsc-3-36-02-Introduction-to-pipelines-online-ds-ft-100118
sandgate-dev/dsc-3-36-03-comparing-machine-learning-techniques-using-pipelines-lab-online-ds-ft-100118
sandgate-dev/dsc-3-45-07-hierarchical-agglomerative-clustering-lab-online-ds-ft-100118
sandgate-dev/dsc-4-37-02-introduction-to-nlp-with-nltk-online-ds-ft-100118
sandgate-dev/dsc-4-37-03-introduction-to-regular-expressions-online-ds-ft-100118
sandgate-dev/dsc-4-37-04-regular-expressions-lab-online-ds-ft-100118
sandgate-dev/dsc-4-37-05-feature-engineering-for-text-data-online-ds-ft-100118
sandgate-dev/dsc-4-37-06-corpus-statistics-lab-online-ds-ft-100118
sandgate-dev/dsc-4-37-07-context-free-grammars-and-pos-tagging-online-ds-ft-100118
sandgate-dev/dsc-4-37-08-context-free-grammars-lab-online-ds-ft-100118
sandgate-dev/dsc-4-37-09-text-classification-online-ds-ft-100118
sandgate-dev/dsc-4-38-01-introduction-online-ds-ft-100118
sandgate-dev/dsc-4-38-03-parallel-and-distributed-computing-with-mapreduce-online-ds-ft-100118
sandgate-dev/dsc-4-38-04-big-data-analytics-apache-spark-online-ds-ft-100118
sandgate-dev/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
sandgate-dev/QuantEcon.cheatsheet
A cheatsheet for Python and Julia