miguel-conde Goto Github PK

20170221_dsm-workbook

Slides & Workbook

adv-r

Advanced R programming: a book

aemet

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

asoc_rules

autobot

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

beyond_linear_regression

Advanced regression methods

brm_stanarm

Bayesian Regression Modeling with stanarm

caching-the-mean-of-a-vector

R programming: second programming assignment example

caretsetup

Examples of useful setups for using multiple models

causal_inf_python

causal_webinar

causalty

causirf

Causal analysis based on IRF (Impulse Response Function)

classification_performance

On confusion matrices and ROC curves

clv

Customer Lifetime Value

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid19

cp-ddp

Course Project Practical Machine Learning

dat3

General Assembly's Data Science course in Washington, DC

data

Open Data Sources

data_preprocessing

Data preprocessing methods based in c. 3 Kuhn & Johnson

datasciencecoursera

The Data Scientist’s Toolbox - Repo Project 1

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasharing

The Leek group guide to data sharing

ddp-cp-shiny

Developing Data Products Course Project

ddp-cp-slidify

Developing Data Products - Course Project-Slidify

dl_dw

dls_neural_networks_and_deep_learning_w2

Week 2 Code