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158_hr-depth

adaboost

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

airbnb_analysis

GA DSI capstone project

api

arima

asteroid

The PyTorch-based audio source separation toolkit for researchers

atom

:atom: The hackable text editor

autocorrelation

beautifulsoup

big_data

bootstraping

c_plus_plus

capstone

classification-multiple-classes

classification_evaluation

cli-intro

cloud-data-warehouse-with-aws

Building an ETL pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to.

clt

clustering_eval

control_flow-lists-dict

course-info

cross-validation

cs-algorithmic-complexity

dat-sea-2019

data-engineering-nanodegree-capstone-project

Develop a data model designed for Online Analytical Processing (OLAP) to support queries analyzing US immigration data. In the data model, we complemented the US immigration data with US cities' demographics data (ETL'ed in a fact table) as well as dimension tables for arrival ports, countries, visa types, etc.

data-lake-with-spark

In this project, an ETL pipeline is built for a data lake. The data resides in S3, in a directory of JSON logs on user activity on the app, as well as a directory with JSON metadata on the songs in the app. Data will be loaded from S3, then processed into analytics tables using Spark, and load them back into S3. This Spark process is deployed on a cluster using AWS.

data-modeling-with-apache-cassandra

Create a noSQL database and ETL pipeline designed to optimize queries for understanding what songs users are listening to. Model the data in Apache Cassandra to allow for specific queries provided by the analytics team at Sparkify.

data-modeling-with-postgres

Create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

data-pipelines-with-airflow

Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.