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algorithms-explanation

All Algorithms explained in simple English Language with example and links to their implementation in various programming languages and other required resources.

beng_280_project_1

data_analysis_nanodegree_udacity

This is some of the codes I created (or modified) through my work in the Udacity Data Analysis Nano Degree

datasciencecoursera

This is a repo for the data science track on Coursera.

datasharing

The Leek group guide to data sharing

deep-learning-project-template

A best practice for deep learning project template architecture.

ece-143-project

This repo contains the code, data, and approach for the ECE 143 Project at UCSD

ece_228_project

hello-world

Learning How to Use Git Hub In Details

prmlt

Matlab code for machine learning algorithms in book PRML

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

All Algorithms implemented in Python

pytorch_tutorial

PyTorch Tutorial (1.3)

tennis-tracking

Open-source Monocular Python HawkEye for Tennis

trbg.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ud777-writing-readmes

Supplemental material for Udacity's "Writing READMEs" course

vagus-nerve-u-net