jianqiaomao Goto Github PK

aapl_stock_price_prediction

amls_20-21_sn20029691

The AMLS assignment of UCL IMLS

amls_assignment20_21_sn20041534

The assignment code of AMLS (2020-2021)

amls_ii

This code is for use within the UCL Electronic Engineering AMLS II module (ELEC0135).

amls_ii_assignment20_21_sn20041534

The code of AMLS II assignment(2020-2021)

causalbootstrapping

CausalBootstrapping is an easy-access implementation and extention of causal bootstrapping (CB) technique for causal analysis. With certain input of observational data, causal graph and variable distributions, CB resamples the data by adjusting the variable distributions which follow intended causal effects.

data-insights-for-management-empowering-business-decisions

Repository for the workshop, including tutorial material

enhancedxgbm

A enhanced XGBM by considering a loss function with higher order.

grapl_new_fixall_func

GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference

interpretable-machine-learning-for-hvac-predictive-control

The open-access code of an interpretable machine learning-based method for room temperature prediction in a non-domestic building.

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

mechanism_learning

Mechanism learning library is a library to provide an easy approach to ensure the model can capture the causal relationships between the cause and the effect given an observable mediator when some unobservable confounders influencing both the cause and effect. The library is compatible with most existing ML models.

myutils

A tool box of commonly used techniques in data science coding.

neoscholar-machine_learning_basics

Coding assignments materials

pffra

An Interpretable Machine Learning technique to analyse the contribution of features in the frequency domain. This method is inspired by permutation feature importance analysis but aims to quantify and analyse the time-series predictive model's mechanism from a global perspective.

real-time-vision-based-sign-language-recognition-system

My undergraduate Final Year Project awarded as the Excellent Bachelor's Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently can recognize 10 static and 2 dynamic gesutures in ASL with testing accuracy of 99.68%.

smart-city-analytics

Analyze large data sets collected from a long-range IoT system that uses LoRaWAN networking

ucl_aisoc_tutorial_handgesturerecognition

This project aims to design a real-time vision-based hand gesture recognition system with machine learning techniques, which potentially makes deaf-and-mute people life easier.