songxiaohan-1997/Machine-learning-gender-recognition songxiaohan-1997/Machine-learning-gender-recognition

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 5 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
songxiaohan-1997/Machine-learning-gender-recognition
github

songxiaohan-1997

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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%.

More Repositories

1

Fintech-2019-2020-AY1

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;
Jupyter Notebook
6
star
2

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.
R
2
star
3

Pairs-trading-R-code

select stock pairs out of 1900+ stocks in AMEX and implement pairs trading strategy on them
R
1
star
4

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.
Jupyter Notebook
1
star
5

LSTM-stock-price-predict

Utilize historical stock price data along with news data building multi-model deep learning stock price prediction model
Jupyter Notebook
1
star