WeiTing83
Self-motivated data scientist with comprehensive knowledge and skills in Python, R, Machine Learning, SQL, JavaScript and Tableau
Pinned Repositories
Used_Cars_Fuel_Types
Final Group Assignment for Module 20
Amazon_Vine_Analysis
Analysis of the reviews are utilize Google Colaboratory Notebook to perform ETL, connect to an AWS RDS instance and load the transformed data into pgAdmin.
Average_order_value_analysis
Create a model to tracking AOV.
Belly_Button_Demographics_Panel
Building a interactive dashboard utilize ploty and Javascript
MechaCar_Statistical_Analysis
Statistical analysis use R for the car manufacturing data
Movies_ETL
Extract,Transform,load movie data at Jupyter Notebbook with Python and create a pipeline to save database at SQL
NYC_Citibike_analysis
Analysis and visualization of data in the Tableau
Pewlett-Hackard-Analysis
Analyze employee data by using SQL to create a data-driven hiring plan
Vehicle_Price_Prediction
Building ETL and data pipelines. Implementing Matplotlib to analyze the dataset and feeding into various machine learning models to predict future vehicle price.
WeiTing83's Repositories
WeiTing83/Amazon_Vine_Analysis
Analysis of the reviews are utilize Google Colaboratory Notebook to perform ETL, connect to an AWS RDS instance and load the transformed data into pgAdmin.
WeiTing83/Average_order_value_analysis
Create a model to tracking AOV.
WeiTing83/Belly_Button_Demographics_Panel
Building a interactive dashboard utilize ploty and Javascript
WeiTing83/MechaCar_Statistical_Analysis
Statistical analysis use R for the car manufacturing data
WeiTing83/Movies_ETL
Extract,Transform,load movie data at Jupyter Notebbook with Python and create a pipeline to save database at SQL
WeiTing83/NYC_Citibike_analysis
Analysis and visualization of data in the Tableau
WeiTing83/Pewlett-Hackard-Analysis
Analyze employee data by using SQL to create a data-driven hiring plan
WeiTing83/Vehicle_Price_Prediction
Building ETL and data pipelines. Implementing Matplotlib to analyze the dataset and feeding into various machine learning models to predict future vehicle price.