endicotttechnology Goto Github PK

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Name: ECIS Technology Studies

Type: Organization

Bio: Endicott College of International Studies (ECIS) - Technology Studies

Location: Daejeon, South Korea

Blog: endicott.ac.kr

ECIS Technology Studies's Projects

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

deep-learning-python

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introtohadoopandmr__udacity_course

:elephant: Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-edu-book

Teaching and Learning with Jupyter

jupyter-with-r

An example of how to share interactive examples of R code using Jupyter notebooks.

labs

Labs for the Foundations of Applied Mathematics curriculum.

michael-s-data-science-curriculum

This is the companion curriculum to my guide to becoming a data scientist.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml_pipelines

Using Kafka-Python to illustrate a ML production pipeline

mlflow

Open source platform for the machine learning lifecycle

mlflow-demo

A demo project using MLflow machine learning lifecycle management platform

mlflow-workshop

First steps to interact with MLflow (mlflow.org)

mlflow_demo

Demonstrates mlflow functionality. Docker containers provide the run-time environment for mlflow.

mlflow_tutorial

Managing machine learning life-cycle with MLflow tutorial

mlflowcolab

Created for blogpost on deploying of MLflow with Google Cloud Platform for usage in Colab Notebook.

neptune-mlflow

Neptune integration with MLflow

nlp-recipes

Natural Language Processing Best Practices & Examples

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

practical_rl

A course in reinforcement learning in the wild

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

r-training

R language training for students who have undergraduate level statistical background but zero programming basics.

stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

syllabus

syllabus for the Advanced JavaScript class at NYU

endicotttechnology Goto Github PK

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