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airflow_exploration

Testing Airflow Operators and configuration

coinlore_api_project

Capstone project from Udacity with coinlore API

coursera_capstone

IBM_coursera_capstone_project. Using k-mean cluster analysis to explore the city of Toronto

ds_algorithm

Repo contained C/C++, Python, and project related materials

fastapi_dev

firearm_analysis_with_python

Project Overview Welcome to the exploratory data analysis of the relation between population census dataset and gun record information. The `gun census` file contain total of 27 columns and 12485 rows. The file is the record of information comes from the FBI's national instant Criminal Background check system or NICS. Whenever there is a firearm purchase, gunshop's owner will run a check through the NICS system to ensure that the buyer meet all of the qualification before their purchase. Accompanying the NICS dataset is the U.S. census dataset of which contain serveral variables at the state level. Most variables have only one data point per state (2016), but a few have data for more than one year (poverty). <a href="https://www.census.gov/">Census link</a>

ibm_ml_capstone_project

Using the supervised classification method to predict loan credit default with 346 records of individuals

lyf_bike_ride_data_visualization_and_exploratory

The goal of this project is to analyze and visualize the lyfy_bike_data.csv. This project is part of the Udacity's Data analysis program.

oop

Project developing Python application OOP design

page_version_testing_with_r

The purpose of this project is to perform an multivariate-testing of 5 version of a University cover page. The data was extracted from Young, Scott W.H. (2014) Improving Library User Experience with A/B Testing: Principles and Process. Weave: Journal of Library User Experience. University of Michigan Library. http://dx.doi.org/10.3998/weave.12535642.0001.101

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

react_web_dev

Created with CodeSandbox

s3redshift-sparkifydbetl

Creating ETL process using S3 as staging db and store into AWS redshift DWH for higher performance analysis

sandbox-scrapers

Sandbox for webscraping

simple_career_bot

ENGR195 capstone class Career chat bot, work in group with other Social Science Students

static_rdb_with_psql

Project goal is to setup a database using postgresSQL to help analytics team perform user's behavioral preferences of the most trendy song

text_recogniton_chat

A very easy to read script that you can use for recognising phrases when creating a basic chat bot.

tien-duong115

Config files for my GitHub profile.

twitter_doggo_page_analysis

Introduction In this data wrangling project, the goal is to clean up the data quality and tidiness issues using both visual and programmatic assessments

udacity-airflow

Use airflow to establish ETL scheduling processes (DAG). Execute SQL for creates table in user S3 bucket and inserted data from another S3 buckets for staging and relational modeling accord to time schedule and sensor.

udacity-data-lake

PIPELINE data for analytic team to perform analysist, extract dataset from S3 bucket location, use Spark on top of HDFS to compute than load back into S3 bucket

udacitydataengineer

Udacity course on Data architecture and engineering

visualization_with_python

Using Python to the Visualization area of interest in Data Science field of study. Use folium map to visualize the location of the district within map of the City of San Francisco.

weather-project_python

As we all know that global temperature is getting warmer as ever. In this project,the data set was given to me as part of the Udacity program. The average temperature of global weather trends file is to be extracted from the SQL database. I extract the data and export its into two files global weather.csvand local weather csv. The global weather.csv consists of 2 columns, year and avg_temp which recorded the average temperage each years in Celsius. The local weather.csv contain 4 columns, year, city, country, avg_temp, which also recorded the average temperature in Celsius of San Jose which also known as Silicon Valley.

yahoo_page_testing

R-language using Statistical t-test to evaluate the differences between user clicks rate between the two dataset