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MuleSoft
This repository contains code used for my MuleSoft Developer course and my YouTube MuleSoft tutorials.T_SQL
Microsoft: DAT201x Querying with Transact-SQL from edxmonitoring_trash_cans_with_shiny_and_leaflet
Using PostgreSQL and shiny with a dynamic leaflet map to monitoring trash cansEmail_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/0xZZC8SAxAQThe-Analytics-Edge
MITx: 15.071x The Analytics Edge is an edX course from MIT.Deep_learning_specialization
Five deep learning courses from coursera offered by Andrew Ag.Andrew_Machine_Learning_R
This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.Spark_certification
Contains various tutorials to help big data enthusiasts master Apache SparkAnomaly_Detection_with_R
Anomaly detection algorithm to detect outliers of servers in a network using multivariate normal model.Google_scholar_scraping_with_R
R_Shiny_Machine_Learning
Shows how to use Shiny to demo your machine learning model or to submit Machine Learning Challenges.fissehab.github.io
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.BerkeleyX-CS100.1x-Introduction-to-Big-Data-with-Apache-Spark
PDF_extraction_shinyApp
6.00.1x_Python_course
MITx's Introduction to Computer Science and Programming Using PythonMySQL_ELK_Hurricanes
This tutorial is on importing data to Elasticsearch from MySQL to visualize with Kibana.linear_non_linear_optimization
This is a tutorial on how to perform linear and non-linear optimization with Scipy, including on Pandas DataFrameFDA-Adverse-Event-Reporting-System-Data-Analysis
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.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.htmlMachine-Learning
Machine Learning Coursera course offered by Andrew Ng from Stanford UniversityModals_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.dplyr.way_vs_data.table.way
BerkeleyX-CS190.1x-Scalable-Machine-Learning
sklearn_pandas_udf
Parallelize sklearn model building process using Pandas UDF in PySparkExploratory-Data-Analysis
Behavioral_Clustering_Spark
Shiny_prediction_project
ShinyApp_hospital_ranking
Statistical-Computing
JHU course with Applications in RReproducible-Research
Reproducible Research, fifth course of the data science specialization from Johns Hopkins University on Courserafissehab
getting_and_cleaning_data
ShinyApp_how_is_climate_changing_and_where
Practical_machine_learning
Practical Machine Learning, eigth course of the data science specialization from Johns Hopkins University on CourseraDeveloping_data_products
Developing Data Products, ninth course of the data science specialization from Johns Hopkins University on CourseraUS_Population_Data
U.S. Population by zip code, 2010-2016 from https://data.world/lukewhyteLove Open Source and this site? Check out how you can help us