Discover @fissehab Open Source projects

Fisseha Berhane (@fissehab)

fissehab

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Registered almost 10 years ago
Most used languages

R
58.1 %

Jupyter Notebook
16.1 %

HTML
12.9 %

Python
3.2 %

CSS
3.2 %

MATLAB
3.2 %

SQLPL 3.2 %

MuleSoft

This repository contains code used for my MuleSoft Developer course and my YouTube MuleSoft tutorials.

Jupyter Notebook

T_SQL

Microsoft: DAT201x Querying with Transact-SQL from edx

monitoring_trash_cans_with_shiny_and_leaflet

Using PostgreSQL and shiny with a dynamic leaflet map to monitoring trash cans

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

The-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.

Jupyter Notebook

Andrew_Machine_Learning_R

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

Jupyter Notebook

Spark_certification

Contains various tutorials to help big data enthusiasts master Apache Spark

Anomaly_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 Python

MySQL_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 DataFrame

Jupyter Notebook

FDA-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.

Jupyter Notebook

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

Machine-Learning

Machine Learning Coursera course offered by Andrew Ng from Stanford University

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.

dplyr.way_vs_data.table.way

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.

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

sklearn_pandas_udf

Parallelize sklearn model building process using Pandas UDF in PySpark

Exploratory-Data-Analysis

Behavioral_Clustering_Spark

Shiny_prediction_project

ShinyApp_hospital_ranking

Statistical-Computing

JHU course with Applications in R

Reproducible-Research

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

fissehab

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 Coursera

Developing_data_products

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

US_Population_Data

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