Skip to content

Alice86/StatsProgramming

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
HW6
HW6
 
 
LMjw
LMjw
 
 
.gitignore
.gitignore
 
 
20170929Start.py
20170929Start.py
 
 
2_layer_nn - Jiayu Wu.py
2_layer_nn - Jiayu Wu.py
 
 
Adaptive Boost.R
Adaptive Boost.R
 
 
Boosting machine and NN (matching pursuit, adaboost, 2-layer NN).ipynb
Boosting machine and NN (matching pursuit, adaboost, 2-layer NN).ipynb
 
 
C.RData
C.RData
 
 
Compare Lasso.R
Compare Lasso.R
 
 
Gauss_Jorden.R
Gauss_Jorden.R
 
 
Gauss_Jorden.py
Gauss_Jorden.py
 
 
HW7 - Jiayu Wu.Rmd
HW7 - Jiayu Wu.Rmd
 
 
HW7 - Jiayu Wu.pdf
HW7 - Jiayu Wu.pdf
 
 
HW7_-_Jiayu_Wu.pdf
HW7_-_Jiayu_Wu.pdf
 
 
Jiayu Wu - QR.R
Jiayu Wu - QR.R
 
 
Jiayu Wu-LInear Regression.R
Jiayu Wu-LInear Regression.R
 
 
Jiayu Wu-Linear Regression sweep.R
Jiayu Wu-Linear Regression sweep.R
 
 
Jiayu Wu-Logistic Regression.R
Jiayu Wu-Logistic Regression.R
 
 
Jiayu_Wu-Linear_regression_sweep.cpp
Jiayu_Wu-Linear_regression_sweep.cpp
 
 
Jiayu_Wu-QR.cpp
Jiayu_Wu-QR.cpp
 
 
Kernel machine (gaussian, regression, SVM).ipynb
Kernel machine (gaussian, regression, SVM).ipynb
 
 
LMjw_0.0.0.9000.tar.gz
LMjw_0.0.0.9000.tar.gz
 
 
Lasso - Jiayu Wu.R
Lasso - Jiayu Wu.R
 
 
Linear Regression.py
Linear Regression.py
 
 
Linear regression sweep.py
Linear regression sweep.py
 
 
Linear_Regression tutorial.py
Linear_Regression tutorial.py
 
 
README.md
README.md
 
 
Rcpp Tutorial.cpp
Rcpp Tutorial.cpp
 
 
Rcpp-start.R
Rcpp-start.R
 
 
Report on Spectral clustering, T-SNE, NN build and xgboost (204 Final).pdf
Report on Spectral clustering, T-SNE, NN build and xgboost (204 Final).pdf
 
 
Rplot.png
Rplot.png
 
 
SWP.R
SWP.R
 
 
SWP.py
SWP.py
 
 
Spline Regression.ipynb
Spline Regression.ipynb
 
 
Stats202A_HW9_P2.py
Stats202A_HW9_P2.py
 
 
T-SNE.py
T-SNE.py
 
 
TF - Jiayu Wu.py
TF - Jiayu Wu.py
 
 
linear regression tutorial.R
linear regression tutorial.R
 
 
mystery_data.txt
mystery_data.txt
 
 
package.R
package.R
 
 
practice.py
practice.py
 
 
pratice.R
pratice.R
 
 
qr.py
qr.py
 
 
spectral clustering.py
spectral clustering.py
 
 
tf.example.py
tf.example.py
 
 
xgboost.py
xgboost.py
 
 

Repository files navigation

StatsProgramming

Learning algorithms with R, Python Coursework for stat202A stat204 UCLA 2018

About

Machine Learning Algorithms from scrach; Python, R; stats202A stats204 UCLA 2018

alice86.github.io/2017/12/15/A-Memo-on-Statistical-Computing/

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages