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2020plus

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests

advanced-machine-learning-with-python

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

aifh

Artificial Intelligence for Humans

analytics-vidhya-hackathon-customer-worth-to-a-bank-

XGB model for predicting Customer worth to a bank

apm_exercises

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

applied-predictive-modeling

Exercises and R code related to the book Applied Predictive Modeling by Max Kuhn and Kjell Johnson

appliedpredictivemodeling

:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/

association-rule-mining

Analysis of frequently brought items (Market Basket Analysis) Using R

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

azureml-regression-example

This repo contains all the code and data necessary to explore non-linear regression using Azure ML.

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bigrf

Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory

boc

Analysis code for BOC

brijmbproject

Brijs-inspired Market Basket Analysis

car-mileage-prediction

Prediction of car mileage using Linear Regression

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

chicagocrime

predictive modeling for crime rates in Chicago wards

cookbook

The Data Engineering Cookbook

copula_ordinal_regression

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

couchbase-n1ql-mba

An example of how to do Market Basket Analysis using N1QL.

couchbase-spark-mba

An example of how to do Market Basket Analysis using Couchbase and Spark

coursera-regmods

repository for coursera regression models course

cudatree

Building random forests on GPU

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.