Discover songxiaohan-1997/Fintech-2019-2020-AY1 Open Source project

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songxiaohan-1997

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In this project, we compared the impact of popular ML time series models (trees, prophet, LSTM, SVM) in stock price prediction and trend signal classification;

UFC-prediction

In this report, we built models mainly with two methods, one was logistic regression and the other one was Neural Network, to predict the winner in 1078 fighting competitions from Ultimate Fighting Championship(UFC) with 159 feature data for each fighting prediction.

Pairs-trading-R-code

select stock pairs out of 1900+ stocks in AMEX and implement pairs trading strategy on them

Machine-learning-gender-recognition

Build a logistic classification machine learning model with python, by training 2.1+ million human face pictures with gradient decent machine learning methods. The accuracy of the model was more than 88%.

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Film-Rating-Prediction-Project-Photo-Reconstruction-Project

Film Rating Prediction Project: There are 70,775 users who have scored more than 13 million points on 3,314 movies. Design a user scoring prediction program to predict the user scoring situation where the data is missing; Photo Reconstruction Project: Use the BFGS algorithm to denoise a noise picture.

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LSTM-stock-price-predict

Utilize historical stock price data along with news data building multi-model deep learning stock price prediction model

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songxiaohan-1997/Fintech-2019-2020-AY1

songxiaohan-1997

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