Andy Pham
Andy-Pham-72
Python | SQL | Statistics | Tableau | Machine Learning
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Top Repositories
Creating an interactive KPI Dashboard and other visualizations with Tableau :bar_chart: .
Python OOP - Banking System with MySQL database case study.
Using hadoop to utilize data from an automobile tracking platform that tracks the history of important incidents after the initial sale of a new vehicle.
Applying data engineering techniques to create data pipeline with Azure Cloud Computing
create a streaming application as a simple real-time fraud detection system backed by Apache Kafka using a Python client.
Using Spark transformations to solve traditional MapReduce data problems.
Repositories
32Creating an interactive KPI Dashboard and other visualizations with Tableau :bar_chart: .
Using Spark transformations to solve traditional MapReduce data problems.
Applying data engineering techniques to create data pipeline with Azure Cloud Computing
create a streaming application as a simple real-time fraud detection system backed by Apache Kafka using a Python client.
Python OOP - Banking System with MySQL database case study.
A quick webscraping tutorial with BeautifulSoup and Pandas :spider: :panda_face:
Using hadoop to utilize data from an automobile tracking platform that tracks the history of important incidents after the initial sale of a new vehicle.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
This repository focused on statistical analysis and exploration used on various data sets for personal and professional projects. :chart_with_upwards_trend:
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Hands-on experience optimizing PySpark code.
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Utilize Docker and Apache Airflow to orchestrate the pipeline, exercise the DAG creation, uses of various operators (BashOperator, PythonOperator, etc), setting up order of operation of each task.
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Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
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EURO CUP 2016 mini-project PostgreSQL schema and tables setup with solutions
This repository consists of the collection of Python Challenges' solutions and some Python tips and fundamentals.
Deep Learning Specialization by Andrew Ng on Coursera.
This repository consists of all the SQL solutions with intuitive explanations that I have done. (including supplemental readings relating to the tools used)
Group thousands of similar spreadsheet or database text entries in seconds
Applying NLP and unsupervised machine learning technique to quickly showing the top representative user reviews of vitamin products from iHerb :pill: .
A Simple Pure Python Data Pipeline to process a Data Stream
An intuitive tutorial of web scraping with Selenium. :spider:
A quick and intuitive tutorial for a simple WebApp deployment with Streamlit and Heroku :computer: .
Cheat Sheets
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