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PEC-CSS
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slowmokit
Library which can be used for machine learning in C++.
https://pec-css.github.io/slowmokit/
GNU General Public License v2.0
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Feature: Implement Ridge and Lasso regression
#26
UtkarshGoelUT
opened
1 year ago
5
Feature: Implement normalization for pre-processing
#25
UtkarshGoelUT
closed
1 year ago
2
Feature: Implement train test split for pre-processing
#24
UtkarshGoelUT
closed
1 year ago
2
Feature: Implement Bernoulli Naive Bayes
#23
UtkarshGoelUT
closed
1 year ago
2
Feature: Implement Multinomial Naive Bayes
#22
UtkarshGoelUT
opened
1 year ago
2
Feature: Implement Gaussian Naive Bayes
#21
UtkarshGoelUT
closed
1 year ago
2
Feature: Implement SVM for Regression
#20
UtkarshGoelUT
opened
1 year ago
0
Feature: Implement matrix multiplication
#19
UtkarshGoelUT
closed
1 year ago
2
Feature: Implement Radial Basis Function (RBF) for SVM
#18
UtkarshGoelUT
opened
1 year ago
1
Feature: Implement Gaussian Kernel for SVM
#17
UtkarshGoelUT
opened
1 year ago
1
Feature: Implement Polynomial Kernel for SVM
#16
UtkarshGoelUT
opened
1 year ago
1
Feature: Logistic regression model
#15
UtkarshGoelUT
closed
1 year ago
4
File Refactoring
#14
harshjohar
closed
1 year ago
1
added linear regression
#13
UtkarshGoelUT
closed
1 year ago
0
important link fix
#12
Ishwarendra
closed
1 year ago
0
K means ishwar
#11
Ishwarendra
closed
1 year ago
0
minor readme fix
#10
Ishwarendra
closed
1 year ago
0
Create LICENSE
#9
harshjohar
closed
1 year ago
0
Foldr refactoring and README added.
#8
harshjohar
closed
1 year ago
0
Added workflow
#7
ken1000minus7
closed
1 year ago
0
some changes to specify some details
#6
harshjohar
closed
1 year ago
0
Added read csv
#5
ken1000minus7
closed
1 year ago
0
CMAKE setup and base files
#4
harshjohar
closed
1 year ago
0
Added basic configuration files
#3
harshjohar
closed
1 year ago
0
Added model class
#2
ken1000minus7
closed
1 year ago
0
linear regression model added
#1
UtkarshGoelUT
closed
1 year ago
2
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