KarenZhuqianZhou

ISLS19952021

tree-of-thought-llm

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

AnalogicalReasoning

AIED2022

Keyword and social network analysis of AIEd related research communities (2013-2020).

api_workshop

HUDM6122_MultivariateStatistics

This is a repo for the course, Multivariate Statistics, offered by Professor Dobrin Marchev in Spring 2022.

apaTables

DSEA Data Workshop: Generating APA Style Tables in R

aiedu

Keyword and social network analysis of AIEd related research communities (2013-2020)

HUDM5123_FinalProject

RQ: To what extent do different interpretation-of-experienced-difficulty mindsets affect students’ academic performance?

HUDM5123_Lab07_EffectSizeAndPower

HUDM5123_Lab06_TwoWayANOVA

HUDM5123_Lab04_Contrasts

HUDM5123_Lab03_One-wayANOVA

20200304_DSEA_WellnessWeek

Visualize PhD students' mental health based on 2019 Nature survey data

HUDM5123_Lab02_Diagnostics

HUDM5123_Lab01_LinearRegressionInR

Class projects for HUDM5123: Linear Models & Experimental Design

2020_Spring_DSEA_DataWorkshop

2019_Elections_HKDistrictCouncil

Replicate some basic statistics in the news about 2019 District Council Elections in Hong Kong

My-Project-Journey

Here, you will find several of my completed projects which aid educators by helping develop curriculum mapping and personalize learning, while predicting students' behaviors.

MSTU4020_ImpressionManagementOnSocialMedia

DataChallenge_BrownDatathon2019

http://bds.cs.brown.edu/datathon

HUDK4050_Setup_RStudio_Github

HUDK4051_LectureSlides

HUDK4051_RecommenderSystems

Creating a collaborative filter to recommend which unit to tackle next

week-5-Intro-to-Machine-Learning-for-Classification-2-Neural-Network-and-Naive-Bayes

Simple neural network and Naive Bayes

week-4-Intro-to-Machine-Learning-1-for-Classification-Logistic-Regression-and-SVM

Intro to Machine Learning for Classification: Logistic Regression and SVM

week-3-Multivariate-Analysis-and-Data-Visualization-with-Matplotlib-and-Seaborn

Multivariate Analysis (Correlation, PCA) and Data Visualization with Matplotlib and Seaborn

week-6-Intro-to-deep-learning-tensorflow-and-Keras

Intro to deep learning: tensorflow & Keras

week-2-Intro-to-Statistics-Analysis

Intro to Statistics Analysis: T-test, Chi Square Test, Lineaer & Logistic Regression and Multivariate Analysis

week-1-Data-Structure-and-Data-Exploration

Introduction to Python and Data Exploration