jahmah Goto Github PK
Name: Michael Ammah
Type: User
Bio: Data analyst working primarily in SQL, Python, R and SAS
Location: Silver Spring, MD
Michael Ammah's Projects
dbt-tutorial
dbt learn tutorial
django-web-app
donation-analytics
engineering-project-template
etl_spark_aws_s3
ETL pipeline from AWS S3 bucket, transformation in PySpark, and loaded back into S3 bucket.
fabric
Useful code for fabric notebooks
financial_analytics_python
flask-dev
A sample Flask app
flask-postgres-plotly
Demonstration of deploying Flask app to Heroku
flask-web-app
A web application in Python using Flask
freecodecamp
The https://www.freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
getting-started-with-analytics-engineering
Getting Started with Analytics Engineering
go
The Open Source Data Science Masters
gwdcdata
insight-data-engineering-challenge
Coding challenge solution for the Insight Data Engineering Program
interactive_latencies
Jeff Dean's latency numbers plotted over time
ipython-sql
%%sql magic for IPython, hopefully evolving into full SQL client
jahmah.github.io
Portfolio
latitude---web_visualisation_dashboard
A web visualization of weather data analysis
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
netflix-movie-recommendation-system
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
news-bias
This script will return the average subjectivity and polarity of 30 news articles from the news websites of your choice and then return the results in a terminal table.
news-moods-challenge
Sentiment analysis of five popular media outlet tweets using Vader
node-red-tello-control
Node-RED flows to control the Ryze Tello Drone
olympics-analysis-notebook
A Jupyter Notebook analysing a Dataset from Kaggle from different angles.
powerbi-visuals
Documentation for creating visuals for Power BI
powerbi-visuals-tools
Contains tools for building/packaging Power BI visuals
predict-opioid-prescribers
A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
predictive-analytics-for-business-nanodegree
Kai Sheng Teh - Udacity Predictive Analytics for Business Nanodegree
product-recommendation-with-watson-ml
Build a recommendation engine with Spark and Watson Machine Learning
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