Name: Yinghao Zhang
Type: User
Company: The University of Melbourne
Bio: I'm a graduate from Master of Information Systems in The University of Melbourne. My interest is to analyze and get insights from the real-world data.
Location: Melbourne, Victoria, Australia
Yinghao Zhang's Projects
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Utilized hypothesis test and logistic regression to analyse the A/B test result of an e-commerce website
Use AIHW METeOR, SNOMED CT (Australia version), SKMT Glossary Tool, and OpenEHR CKM to model the data needed for the mobile application of chronic diseases self-management.
Code examples for “Interactive Data Visualization for the Web”
The Leek group guide to data sharing
Use SQL and Excel to analyze city and global weather trends
Utilized Matplotlib and Seaborn to conduct the exploratory and explanatory visualisation of Ford GoBike dataset
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
Utilized physical modeling and E-R diagram to design a relational database system for LunchRider
Create Machine Learning Algorithms in Python and R.
My configuration
Utilize Java to create an interactive game based on object-oriented programming methods
This is my most current online resume.
Repository for Programming Assignment 2 for R Programming on Coursera
Notes and exercise attempts for "An Introduction to Statistical Learning"
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
A repository that will be linked with RStudio
Utilize Numpy, pandas, and Matplotlib to wrangle and analyze the movie dataset
Provides a holistic process of analyzing the cancer patient dataset in order to discover the pattern of cancer patients.
Your new Mentor for Data Science E-Learning.
Utilized pandas to wrangle the WeRateDogs Twitter Dataset and Matplotlib and StatsModels to visualize and model the cleaned dataset