gdk-gagan Goto Github PK

account-fraud-detection

Machine Learning, MLOPs and Data Strategy case study for a real-world fraud dataset

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

data-engineering-utils

This repo contains notes, code and exercises for getting started with Docker, Terraform, dbt, Spark and Kafka along with Google cloud. It is based on the free course DE-Zoomcamp by Alexey Grigorev.

dspl

Schema and utilities for Google Dataset Publishing Language

ece590

Course Website for ECE/ENERGY 590 at Duke University

gdk-gagan.github.io

ggplot2-df18

Files for DataFest 2018 workshop on Visualization in R using ggplot2

hello-dbt

Learn dbt by implementing a project based on NY taxi open dataset using dbt cloud and Google Bigquery

is_608

Coursework for 608 Knowledge and Visual Analytics, MS in Data Analytics at CUNY SPS

jupyter-scala

Lightweight Scala kernel for Jupyter / IPython 3

keras

Deep Learning for humans

machine-learning-course

ECE-590

medical-admissions-forecasting

Forecast probability of admission for each student given known base rate

ml-design-docs

📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

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.

ml-zoomcamp

Coursework for ml-zoomcamp 2023

pandas-tutorial-scipyconf-2018

prefect-project-guide

Great guide to get started with Prefect through a hands-on project.

pyculiarity

A Python port of Twitter's AnomalyDetection R Package

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

sample

Adding code for reference and experimentation

spark-deep-learning

Deep Learning Pipelines for Apache Spark

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

statsnotes

Notes on statistics

stingar-threat-intelligence

Interactive threat intelligence dashboard using Pydeck and Streamlit