vshlpunjabi Goto Github PK

3dearth

An AR application to demonstrate Augmented reality

alexa-google-search

A highly non-official google search skill for Alexa

awsarchitecturesocialnetworkingwebsite

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crimedataanalysis

Crime Data Analysis using apache Hadoop for UK police data

ctci-go

Implementation of Cracking The Coding Interview in Go lang

ctgi

Cracking The Google Interview

currency-prediction-using-time-series-analysis-and-forecasting

decaptcha

RESEARCH PROJECT : Automated CAPTCHA solver in MATLAB. Code available on request only

elasticsearch-definitive-guide

The Definitive Guide to Elasticsearch

hackerzone

Web platform to host Ethical Hacking Competition

hacking-security-ebooks

Top 100 Hacking & Security E-Books (Free Download) - Powered by Yeahhub.com

hadoop-tutorials

hadoop-tutorials

health-care-analytics

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

imdbmoviebigdata

A big data project to apply Hadoop map- reduce to derive some statistics from IMDB movie data.

instant-search-in-ecommerce-using-bigdata

interviews

kaggle

kaggle-titanic

Predict survival on the Titanic using Excel, Python, R & Random Forests

kinesis

Location Spoofing for iOS 17

littleinferencebook

A book for the coursera statistical inference class

log-analytics-using-elk

logstash

logstash - transport and process your logs, events, or other data

mighty-hive-statistical-analysis---ab-testing

MightyHive-AdTech-Split-Testing-Data- MightyHive: AdTech Split Testing Company Website: http://mightyhive.com/call-center-remarketing/ Data Source: Teamleada provide Data science project to get hands on experience. In the project "A/B Testing Analytics: MightyHive Project" the data is provided along with the schema to perform a detailed Data Cleaning, Data Deduplication, Data Strcuturing & Analysis. Data Available: https://www.teamleada.com/projects/ab-testing-analytics-mightyhive-project/data-background/data-background MightyHive is an advertising technology company that uses retargeting methods to send ads to users online. One product, Call Center Remarketing, uses call center log data to retarget those consumers online whom did not make a purchase. As a data analyst, you are tasked with determining the results from an advertising campaign with a MightyHive client Martin’s Travel Agency. Read this background information on retargeting by ReTargeter. Data The results of the advertising campaign for Martin's Travel Agency are given in the following two datasets: The Abandoned Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Abandoned_Data_Seed.csv Observations in the Abandoned Dataset are individuals who called into Martins Travel Agency's call center but did not make a purchase. The Reservation Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Reservation_Data_Seed.csv Observations in the Reservation Dataset are the customers who called into Martins Travel Agency's call center and made a reservation. The schema for both of the datasets is provided below: Caller_ID - A unique ID generated for every incoming phone call to the call center Session - The Year/Month/Day/Time of each incoming phone call to the call center Incoming_Phone - Phone number identified using caller indentification Contact_Phone - Phone number the caller submits Test_Control - Experiment tag

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

mljungle

Workspace for ML

modern-resume-theme

A modern static resume template and theme. Powered by Jekyll and GitHub pages.

rankminer-predictive_analytics

sharpziplib

#ziplib is a Zip, GZip, Tar and BZip2 library written entirely in C# for the .NET platform.