fissehab

awslambda

AWS Services Code

Andrew_Machine_Learning_R

This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.

Anomaly_Detection_with_R

Anomaly detection algorithm to detect outliers of servers in a network using multivariate normal model.

tensorflow

Computation using data flow graphs for scalable machine learning

SparkR

Data Munging with SparkR in Hortonworks Data Platform (HDP 2.4) Hadoop Distribution deployed on Amazon Web Services (AWS) Elastic Compute Cloud(EC2)

Installing_many_R_packages_at_once

dplyr.way_vs_data.table.way

ipython-notebooks

A collection of IPython notebooks covering various topics.

FDA-Adverse-Event-Reporting-System-Data-Analysis

Google_scholar_scraping_with_R

Top-Google-searches-by-country

Performing-SQL-selects-on-R-data-frames-

Working_with_databases_in_R

Exploratory-Data-Analysis

ShinyApp_how_is_climate_changing_and_where

ShinyApp_hospital_ranking

shiny_geolocation

A demonstration of how geolocation from a smartphone or PC can be used in a shiny app

Shiny_prediction_project

BerkeleyX-CS190.1x-Scalable-Machine-Learning

BerkeleyX-CS100.1x-Introduction-to-Big-Data-with-Apache-Spark

The-Analytics-Edge

MITx: 15.071x The Analytics Edge is an edX course from MIT.

Developing_data_products

Developing Data Products, ninth course of the data science specialization from Johns Hopkins University on Coursera

getting_and_cleaning_data

Machine-Learning

Machine Learning Coursera course offered by Andrew Ng from Stanford University

R

This course, which is the second course of the data science specialization from Johns Hopkins University on Coursera, covers practical issues in statistical computing which include programming in R, writing R functions and debugging. Each week, programming assignments were given.

Reproducible-Research

Reproducible Research, fifth course of the data science specialization from Johns Hopkins University on Coursera

Statistical-Computing

JHU course with Applications in R

Practical_machine_learning

Practical Machine Learning, eigth course of the data science specialization from Johns Hopkins University on Coursera

6.00.1x_Python_course

MITx's Introduction to Computer Science and Programming Using Python