ntj28 Goto Github PK

acad-resources

Academic resources for computer science

adb

CMSC227 Project

adb-python

angular-training-examples

Blog application for Angular 2 training

angular2-jwt

Helper library for handling JWTs in Angular 2 apps

angular2frontend

books

Good Reads

bplustree

B+ tree implementation which stores data in file

coursera-data-science

Repo for the coursera Getting and Cleaning Data Course Project

data-analysis-coursera

Computing for Data Analysis (Winter 2013)

data-science-swag

My Data Science collection(Books and Articles)

data.table

R's data.table package extends data.frame:

datascience

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasciencecoursera-1

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

dse200_python_for_data_analysis

Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)

dse201_database_management_systems

Database Management Systems Data Science Masters Course (DSE 201)

dse203_data-integration_etl

The course is designed to provide students with the fundamentals of data integration and includes: schema mapping and matching, entity disambiguation, ontology development and management, data provenance, and crowd sourcing and machine learning as strategies for integration. The course will also require hands-on projects in which students will work on a data integration problem requiring integration of two or more datasets taken from an application domain of their choice (e.g. geospatial data, healthcare, financial applications, bioinformatics, etc).

dse210_probability_statistics_python

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

dse220_machine_learning

Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

express-jwt

connect/express middleware that validates a JsonWebToken (JWT) and set the req.user with the attributes

facenet

Face recognition using Tensorflow

free-programming-books

:books: Freely available programming books

gee_tools

Google Earth Engine Tools (scripts)

git-guide

git - the simple guide

git-tutorial