SvetiStefan

ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

Advanced-Machine-Learning-with-Python

Code repository for Advanced Machine Learning with Python, published by Packt

APM_Exercises

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

BrijMBProject

Brijs-inspired Market Basket Analysis

CarND-Advanced-Lane-Lines

CarND-Behavioral-Cloning-P3

Starting files for the Udacity CarND Behavioral Cloning Project

CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

CarND-Traffic-Sign-Classifier-Project

Classify Traffic Signs.

CarND-Vehicle-Detection

Vehicle Detection Project

copula_ordinal_regression

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

market-basket-analysis

Package for market basket analysis

Market_Basket-1

Market basket analysis in R

MarketBasket

Market Basket project

minibet

minibet is a repo for simple online betting

mord

Ordinal regression algorithms

odsc_rules

Notes and code for the workshop "Rule-Based Models for Regression and Classification”

ordinal_regression

OrdinalLogisticRegression

OrdinalRegression

ORM Project

phd-thesis

Repository of my thesis "Understanding Random Forests"

predcomps

An R package for extracting understanding from predictive models

R-Ladies-London

Code and Slides for "Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling in R and the caret Package"

Random-Forest-Example

Random-Forest-Example

regtools

Various tools for linear, nonlinear and nonparametric regression.

RUGS-RF

RUGS Data Mining with R (Workshop II) - Random Forests

saphy

Sequential analysis of phylogenies

Telecom-Churn-Neural-Networks

Predicting Telecom Churn Using Neural Networks in R

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE