kevinliujunyang Goto Github PK

baser-graph-visual-project

use Base R plotting system to create fancy plots.

cmpe-255-sp18

CMPE 255 class repo for Spring 2018

consumer-expenditure-analysis

Analyze U.S consumer expenditure per household in the 4th quarter of 2015

coursera-ml

Completed assignments from Coursera Machine Learning course - March 2014

coursera-statistical-inference-project

coursework

summer school coursework

cracking-the-data-science-interview

Resources for Oreilly's "Cracking the Data Science Interview" video series.

datasciencecoursera

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

facebook-classification-challenge

Ever wonder what it's like to work at Facebook? Facebook and Kaggle are launching an Engineering competition for 2015. Trail blaze your way to the top of the leader board to earn an opportunity at interviewing for a role as a software engineer, working on world class Machine Learning problems. In this competition, you'll be chasing down robots for an online auction site. Human bidders on the site are becoming increasingly frustrated with their inability to win auctions vs. their software-controlled counterparts. As a result, usage from the site's core customer base is plummeting. In order to rebuild customer happiness, the site owners need to eliminate computer generated bidding from their auctions. Their attempt at building a model to identify these bids using behavioral data, including bid frequency over short periods of time, has proven insufficient. The goal of this competition is to identify online auction bids that are placed by "robots", helping the site owners easily flag these users for removal from their site to prevent unfair auction activity. The data in this competition comes from an online platform, not from Facebook. Please note: You must compete as an individual in recruiting competitions. You may only use the data provided to make your predictions.

getting-and-cleaning-data-class-project

human-resources-analysis

kaggle-titanic-competition

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

machine_learning_journey

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube

mybooks-1

pml-project

A course project by Coursera class in Practical Machine Learning

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

regression-metheds-coursera-project-

A course project by Coursera class in Regression Methods

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

takehomedatachallenges

My solution to the book <A collection of Data Science Take-home Challenges>

uber-ds-challenge

Uber provided Data Science take home