Pinned Repositories
Android-classes
AndroidLessons
angular-tour-of-bikes
etl_adventureworks_sales_purchases_datamart
ETL process using Pentaho Data Integration (Kettle), for Sales and Purchases Datamarts from Adventureworks, as the final project from the Data Management course from the Big Data & Analytics Masters @ EAE class of 2021
music-hit-decorate-datasets
Python console program that fetches data from Instagram and Music Story. It will add artists' social media information into the datasets that we will use to predict a song's popularity. This is a group project from Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.
music-hit-general
Using Machine Learning Models to predict a song's popularity, this is a group project from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.
supervised-learning-R
Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021
TournamentCalendar
joseph-higaki's Repositories
joseph-higaki/etl_adventureworks_sales_purchases_datamart
ETL process using Pentaho Data Integration (Kettle), for Sales and Purchases Datamarts from Adventureworks, as the final project from the Data Management course from the Big Data & Analytics Masters @ EAE class of 2021
joseph-higaki/TournamentCalendar
joseph-higaki/Android-classes
joseph-higaki/AndroidLessons
joseph-higaki/angular-tour-of-bikes
joseph-higaki/music-hit-decorate-datasets
Python console program that fetches data from Instagram and Music Story. It will add artists' social media information into the datasets that we will use to predict a song's popularity. This is a group project from Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.
joseph-higaki/music-hit-general
Using Machine Learning Models to predict a song's popularity, this is a group project from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.
joseph-higaki/supervised-learning-R
Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021
joseph-higaki/api-tour-of-bikes
joseph-higaki/asset-ticker-vs-tweets
Extracting tweets from crypto influencers on a given timeline, identifying keywords related to a cryptocurrency, and visualize the tweets along with a price line chart from the asset. This is a group assignment from the Big Data Technology and Architecture course from the Big Data and Analytics Masters at EAE class of 2021
joseph-higaki/bicycle-ecommerce-scraper
joseph-higaki/intro-to-R
Intro to R, assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021
joseph-higaki/joseph-higaki
My personal profile
joseph-higaki/music-hit-analyze-data
Using Machine Learning Models to predict a song's popularity, this is a group project from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021.
joseph-higaki/nd027-c3-data-lakes-with-spark
joseph-higaki/py101
joseph-higaki/searchfight
Rank and compare keywords by results on search engines
joseph-higaki/UDataEng_L02P01_create-song-play-schema
Udacity Data Engineering Nanodegree program. Lesson 02 Project 01. Create a datamart for songs and songplays
joseph-higaki/UDataEng_L03_P02_S3toRedshiftDW
Assignment Udacity data engineering load Redshift from S3
joseph-higaki/UDataEng_L03E02_IaC-101
IaC over AWS with Python
joseph-higaki/UDataEng_L03E03_IngestParallelFiles_Redshift
Notebook to ingest / compare processing time loading full vs partitioned csv's into Redshift
joseph-higaki/UDataEng_L03E04_OptimizeRedshiftTableDesign
Notebook to compare Redshift processing (load / query times) using different distribution strategies
joseph-higaki/UDENG_L02P02_Modeling_Cassandra
Creates a Cassandra keyspace and loads song streaming data to answer 3 questions
joseph-higaki/visualization_heineken_sales
Sales Dashboards using Power BI, for Heineken Sales and Nielsen Beer Market Data, as the final project from the Data Visualization course from the Big Data & Analytics Masters @ EAE class of 2021