Pinned Repositories
ALICE
Adversarially Learned Inference with Conditional Entropy (ALICE)
angel-scraper
Data analysis of angel.co companies
anomaly-detection
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
Beginning-ML
This repo contains implementation/reproduction of various codes and tutorials from some amazing resources.
code-challenges
dspl
Schema and utilities for Google Dataset Publishing Language
ece590
Course Website for ECE/ENERGY 590 at Duke University
examples
Visualization-focused examples of using Python for specific topics
ggplot2-DF18
Files for DataFest 2018 workshop on Visualization in R using ggplot2
gdk-gagan's Repositories
gdk-gagan/ggplot2-DF18
Files for DataFest 2018 workshop on Visualization in R using ggplot2
gdk-gagan/ALICE
Adversarially Learned Inference with Conditional Entropy (ALICE)
gdk-gagan/angel-scraper
Data analysis of angel.co companies
gdk-gagan/anomaly-detection
gdk-gagan/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
gdk-gagan/Beginning-ML
This repo contains implementation/reproduction of various codes and tutorials from some amazing resources.
gdk-gagan/code-challenges
gdk-gagan/dspl
Schema and utilities for Google Dataset Publishing Language
gdk-gagan/ece590
Course Website for ECE/ENERGY 590 at Duke University
gdk-gagan/examples
Visualization-focused examples of using Python for specific topics
gdk-gagan/gdk-gagan.github.io
gdk-gagan/IS_608
Coursework for 608 Knowledge and Visual Analytics, MS in Data Analytics at CUNY SPS
gdk-gagan/jupyter-scala
Lightweight Scala kernel for Jupyter / IPython 3
gdk-gagan/keras
Deep Learning for humans
gdk-gagan/machine-learning-course
ECE-590
gdk-gagan/Medical-Admissions-Forecasting
Forecast probability of admission for each student given known base rate
gdk-gagan/ml-design-docs
📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
gdk-gagan/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
gdk-gagan/Pandas-Tutorial-SciPyConf-2018
gdk-gagan/pyculiarity
A Python port of Twitter's AnomalyDetection R Package
gdk-gagan/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
gdk-gagan/Sample
Adding code for reference and experimentation
gdk-gagan/spark-deep-learning
Deep Learning Pipelines for Apache Spark
gdk-gagan/sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
gdk-gagan/statsnotes
Notes on statistics
gdk-gagan/telemetry
Open-source datasets for anyone interested in working with network anomaly based machine learning, data science and research
gdk-gagan/time-series-forecasting
Time series forecasting in Python