• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    R
  • Created over 8 years ago
  • Updated over 8 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

MuleSoft

This repository contains code used for my MuleSoft Developer course and my YouTube MuleSoft tutorials.
Jupyter Notebook
63
star
2

T_SQL

Microsoft: DAT201x Querying with Transact-SQL from edx
SQLPL
31
star
3

monitoring_trash_cans_with_shiny_and_leaflet

Using PostgreSQL and shiny with a dynamic leaflet map to monitoring trash cans
R
20
star
4

Email_text_alerting_with_Shiny

How can we get email and text message alerts when sensors either fail or transmit abnormal reading? If we have a dashboard that is built based on dynamic data and we want alerts when some conditions are met, how can we do that? One option is using R-shiny. My video tutorial shows how: https://youtu.be/0xZZC8SAxAQ
R
19
star
5

The-Analytics-Edge

MITx: 15.071x The Analytics Edge is an edX course from MIT.
R
14
star
6

Deep_learning_specialization

Five deep learning courses from coursera offered by Andrew Ag.
Jupyter Notebook
12
star
7

Andrew_Machine_Learning_R

This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.
Jupyter Notebook
11
star
8

Spark_certification

Contains various tutorials to help big data enthusiasts master Apache Spark
10
star
9

Anomaly_Detection_with_R

Anomaly detection algorithm to detect outliers of servers in a network using multivariate normal model.
HTML
8
star
10

Google_scholar_scraping_with_R

R
6
star
11

R_Shiny_Machine_Learning

Shows how to use Shiny to demo your machine learning model or to submit Machine Learning Challenges.
R
6
star
12

fissehab.github.io

HTML
5
star
13

leaflet-plotly-shiny

This blog post uses Leaflet, which is the leading open-source JavaScript library for interactive maps, and plotly to create weather forecast visualizations.
5
star
14

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

5
star
15

PDF_extraction_shinyApp

R
5
star
16

6.00.1x_Python_course

MITx's Introduction to Computer Science and Programming Using Python
Python
5
star
17

MySQL_ELK_Hurricanes

This tutorial is on importing data to Elasticsearch from MySQL to visualize with Kibana.
R
3
star
18

linear_non_linear_optimization

This is a tutorial on how to perform linear and non-linear optimization with Scipy, including on Pandas DataFrame
Jupyter Notebook
3
star
19

sagemaker_python_shiny_invoke_endpoint

This repository is a tutorial on how to build and deploy a model in SageMaker and invoke it from the external world using R-shiny user interface with the help of the Reticulate R Package.
Jupyter Notebook
2
star
20

Visualize_NYC311calls_with_Kibana

This tutorial is on visualization of NYC 311 call requests using Kibana. The data is first imported to Elasticsearch with Logstash. Youtube vidoes: http://datascience-enthusiast.com/Miscellaneous/NYC311calls_Elastic_stack.html
2
star
21

Machine-Learning

Machine Learning Coursera course offered by Andrew Ng from Stanford University
MATLAB
2
star
22

Modals_Data_Exploration_Shiny

This shiny app is an example on how to use actions and modals for data exploration. Once, you select countries, it opens a modal window with animation.
R
2
star
23

dplyr.way_vs_data.table.way

R
2
star
24

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.
R
2
star
25

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

2
star
26

sklearn_pandas_udf

Parallelize sklearn model building process using Pandas UDF in PySpark
1
star
27

Exploratory-Data-Analysis

R
1
star
28

Behavioral_Clustering_Spark

1
star
29

Shiny_prediction_project

R
1
star
30

ShinyApp_hospital_ranking

R
1
star
31

Statistical-Computing

JHU course with Applications in R
R
1
star
32

Reproducible-Research

Reproducible Research, fifth course of the data science specialization from Johns Hopkins University on Coursera
HTML
1
star
33

fissehab

1
star
34

getting_and_cleaning_data

R
1
star
35

ShinyApp_how_is_climate_changing_and_where

R
1
star
36

Practical_machine_learning

Practical Machine Learning, eigth course of the data science specialization from Johns Hopkins University on Coursera
HTML
1
star
37

Developing_data_products

Developing Data Products, ninth course of the data science specialization from Johns Hopkins University on Coursera
CSS
1
star
38

US_Population_Data

U.S. Population by zip code, 2010-2016 from https://data.world/lukewhyte
R
1
star