taozeze

628Module1-Bodyfat

This is a group assignment of course STAT 628, University of Wisconsin-Madison. The main target is to predict a male's body fat percentage by some measurable variables.

ANALYSE

Repository of the Learning Analytics tool ANALYSE for Open edX platform

Analyze-the-performance-of-IMD-s-students---unid3-ativ1

DataCastle-subsidy

大学生助学金精准资助预测

edm-public-dataset

This repository lists the common public dataset used in educational data mining community.

Genetic-Algorithm

在别人的基础上改进的遗传算法

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

movieRecommend

基于随机游走模型，融合多种电影特征信息的推荐算法代码

studentlyfe

My exploration and related shenaniganry on the dataset from the paper "StudentLife: Assessing Mental Health, Academic Performance and Behavioral Trends of College Students using Smartphones"

Visualizing-The-Gender-Gap-In-College-Degrees

This repository contains the Python code to analyse data on the gender gap for 17 categories of degrees in US universities. The data, which is from The Department of Education Statistics, contains the percentage of bachelor's degrees granted to women in US from 1970 to 2012. Note that the data I use here was cleaned by Randal Olson, a data scientist at University of Pennsylvania. The dataset is stored in the "percent-bachelors-degrees-women-usa.csv" file. Each column in the dataset represents a category of degree. Using visualizations by Python pandas package, we'll explore how we can communicate the nuanced narrative of gender gap using effective data visualization

taozeze/deeplearning.ai-note

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

taozeze/edm-public-dataset

This repository lists the common public dataset used in educational data mining community.

taozeze/Automated_Essay_Scorer

Deep learning & NLP based project, using word2vec model for creating word embeddings and using it to feed to LSTM neural network to predict the essay score awarded to a student

taozeze/Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

taozeze/Awesome-CV-Adversarial-Attack-List

This repository is a curated list of papers and open source code about competition for CV Adversarial Attack.

taozeze/cahl_remediation_rnn

The goal of this project is to create an algorithm that can predict and student learning pathway . When students are stuck on an exercise and a skillset, what content would most likely help the m unstuck. The exercise, video and hint consumption data will be trained using RNN models (GRU or LSTM), with validation on predicting unstuckness.

taozeze/College-Major-Reccomendation-System

Provides the framework for data aggregation and model training of the startup I co-founded, allowing for a short personality test to determine suitable majors for undeclared college students and incoming freshman.

taozeze/Data_Analysis

Python Code of both the online course I took and the code I wrote when learning python.

taozeze/data_mining_in_action-base-2018-fall

Educational project

taozeze/deep-learning-from-scratch

Source code from the book 【深度学习入门-基于Python的理论与实现】

taozeze/deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

taozeze/DeepLearning

深度学习入门教程&&看过的文章&&Deep Learning Tutorial

taozeze/DeepLearningZeroToALL

从0到1学习深度学习

taozeze/Distributed-Memory-Networks

My honours thesis repo. Contains code and data used to produce the experiments as described in my thesis "Distributed Memory Networks for Knowledge Tracing". My thesis presents a novel neural network architecture for predicting student performance in online learning environments which achieves state-of-the-art performance (as of July 2018).

taozeze/edm_eeg_confusion_detection

Project for the Helsinki University course on Educational Data Mining. Detecting confusion of students while watching lecture videos

taozeze/fast-reid

SOTA Re-identification Methods and Toolbox

taozeze/fy2015-replication

Replication of Fei and Yeung (2015), "Temporal Models for Predicting Student Dropout in Massive Open Online Courses".

taozeze/Google-Job-analysis

taozeze/Hands-on-Machine-Learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

taozeze/ji_coursenotes

Assignments and Notes for JI Courses

taozeze/lstm-rnn-stock-predict

这是一个基于LSTM-RNN算法的线上金融股票价格走势预测的小项目，使用tensorflow框架实现。

taozeze/machine-learning-by-scikit-learn-algorithms-and-practices

taozeze/Person_reID_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

taozeze/personality-prediction-using-RNNs

Personality prediction is an important application area of affective computing. The process of assessing the personality of users is proposed in this project using questionnaires answered by the user and classifying the personality according to MBTI traits. This project proposed a framework in which some questions are to be answered by the user. Every question has an option in the form of agree or disagree and then the model predicts the personality of the user from the 16 MBTI traits with a description of personality trait based on the questions answered. This project used deep learning approach. Recurrent Neural Network(RNN) along with Long Short-Term Memory units (LSTM) is used to develop this project. Accuracy of the proposed model achieved is 64.5 which could overcome the average accuracy of personality prediction classifier made while previously it was 55% using RNN. This model which makes use of Questionaries’ can be used as a feedback system in academics and organisation for improving the quality of life of students and employees.

taozeze/Placement-prediction-system-using-ML-algos

To propose an innovation in recruitment system based on the usage of various networking websites like Linkedin, Twitter, version control systems like GitHub and competitive coding platforms. It is aimed to develop an automation in placement prediction at college level which predicts the chances of undergraduate students getting placed in an IT company and helps in profiling a candidate before the recruitment process starts. It involves the use of machine learning model of k-nearest neighbor algorithm as base model to classify students or users into appropriate clusters and the result would help them in improving their skills and other mindset. The results of the same is also compared with the results obtained from other models like logistic regression, random forest and SVM for optimal solution. With various data mining and machine learning techniques, this proposition would help both students as well as recruiters during placements and other recruitment activities.

taozeze/Practica

Predicting medical student board exam performance based on preparatory tests

taozeze/python_data_structures_and_algorithms

Python 中文数据结构和算法教程

taozeze/TransferAttackEval

Good Practices in Evaluating Transfer Adversarial Attacks (arXiv 2022)

taozeze/WANMEN-DataScience_LectureNotes

taozeze/zeze

woshi_zeze