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conversion_rates

Predict conversion rate and generate ideas to improve conversion rate

convex.jl

A Julia package for disciplined convex programming

convexity

This is a package for detecting the convexity of noisy functions. More specifically, given a sample function that can only be evaluated with noise (e.g. output of a simulation model), the MAIN script is able to return estimates of the posterior probability that the function is convex after each iteration of sampling.

convexjlr

Disciplined Convex Programming in R using Convex.jl.

convoys

Implementation of statistical models to analyze time lagged conversions

cooccurrenceaffinity

Computes affinity between two entities based on their co-occurrence

cooccurrenceaffinity_publicationscript

This repo carries R script for publication of CooccurrenceAffinity package. The installable package of CooccurrenceAffinity is in a different repo.

cookiecutter-molecular-dynamics

cookiecutter template for molecular dynamics projects with GROMACS and Plumed

cooler

A cool place to store your Hi-C

coot

Software for macromolecular model-building

copa_papers

this is the repo for storing my review notes regarding conformal prediction

corehunter3

Core Hunter 3: a flexible core subset selection tool

corex

CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.

corins

cornea

protein interface prediction method

cornet

Elastic Net for Dichotomised Outcomes

coronavirus

The coronavirus dataset

corpustools

An R corpus class for tokenized texts

correlation

:link: Methods for Correlation Analysis

correlationplus

A Python package to calculate, visualize and analyze correlations maps of proteins.

corrr

R package for exploring correlations

cosmo

COSMO optimization of parameters to modelling solvation free energies

cosmomvpa

A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave

couenne

Convex Over and Under Envelopes for Nonlinear Estimation

counterfactual-prediction

State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

coursera-statistics-002

Data Analysis and Statistical Inference, Duke University

coursera-university-of-washington

University of Washington

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!