uber-expenses-tracking
data-engineering-challenge-th
uber-expenses-tracking | data-engineering-challenge-th | |
---|---|---|
2 | 1 | |
94 | 13 | |
- | - | |
2.6 | 0.0 | |
almost 2 years ago | over 2 years ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
uber-expenses-tracking
-
Data Engineering Projects for Beginners
Tracking your Uber Rides and Uber Eats expenses through a data engineering process
- uber-expenses-tracking
data-engineering-challenge-th
-
Data Engineering Projects for Beginners
Dockerizing a Python Script for Faster Web Scraping
What are some alternatives?
docker-livy - Dockerizing and Consuming an Apache Livy environment
airflow-docker - This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.
data-engineer-challenge - Challenge Data Engineer
text-analysis-speeches-amlo - Text analysis of the speeches, conferences and interviews of the current president of Mexico
pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school
pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
dados-censup - Automação da ingestão de dados disponibilizados pelo INEP referente ao censo superior da educacão brasileira.
recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)