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This is to practice to write mathematical functions by using Python.
This is to build a library for the numerical method in Python.
This is to build a library for the numerical method in Matlab.
Pattern Jitter is an algorithm for generating artificial spike trains that are maximally random while preserving the smoothed firing rates and the recent spike histories in a recorded spike train.
Learning fundamental algorithms from a course, that is, Algorithmic Toolbox on Coursera.
Repositories
13Pattern Jitter is an algorithm for generating artificial spike trains that are maximally random while preserving the smoothed firing rates and the recent spike histories in a recorded spike train.
This is to practice to write mathematical functions by using Python.
This is to build a library for the numerical method in Python.
No description provided.
This is to build a library for the numerical method in Matlab.
This is a logistic regression classifier and its ROC curve from scratch in python.
K-Nearest Neighbors classifier with the k-fold cross validations.
This is a gradient descent algorithm for the simple linear model to compute the argmin w of the model.
This is a method for stepwise predictor selection in a multivariate linear model.
Finding Synthetic Datasets and Prediction rules which work more suitable for Random Forests.
Develop basic methods to solve problems that relate with Data Science.
No description provided.
Learning fundamental algorithms from a course, that is, Algorithmic Toolbox on Coursera.