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shedoesdatascience / abtesting.R
Last active October 3, 2023 05:40
A/B Testing in R
#### 1. Import libraries and set working directory ####
library(readr)
library(dplyr)
library(ggplot2)
library(lubridate)
library(pwr)
library(plyr)
setwd("C:\\Users\\sssssss\\Desktop\\TM\\")
#### 2. Read in files and merge ####
@shedoesdatascience
shedoesdatascience / 020_analyse_predictive_modelling.R
Last active July 1, 2019 23:43
Modelling open learning data using GBM in R
#****************************************************************************************
#
# PROJECT: 20181002
#
# MODULE: 020 - ANALYSE - PREDICTIVE MODELLING
#
# DESCRIPTION:
#
#
@shedoesdatascience
shedoesdatascience / web_traffic_lead_prediction.R
Last active September 7, 2019 05:50
web_traffic_lead_prediction.R
## 1. Set libraries and import data ####
library(data.table)
library(dplyr)
library(padr)
library(xgboost)
library(Matrix)
library(RcppRoll)
library(zoo)
library(readr)
@shedoesdatascience
shedoesdatascience / medium-table1.txt
Created August 9, 2020 00:19
+---------------------+--------------------+--------------------+--------------------+
| Variable Name | Variable Type | Variable Name | Variable Type |
+---------------------+--------------------+--------------------+--------------------+
| Title | String | Telecommuting | Binary |
| Location | String | Company Logo | Binary |
| Department | String | Questions | Binary |
| Salary range | String | Fraudulent | Binary |
| Company profile | String | In balanced | Binary |
| Description | String | Employment Type | Categorical/Factor |
| Requirements | String | Benefits | String |
@shedoesdatascience
shedoesdatascience / medium-table2.txt
Created August 9, 2020 00:37
+------------+---------------------+
| Model Type | Model Accuracy(AUC) |
+------------+---------------------+
| DRF | 0.962 |
| GBM  | 0.882 |
| GLM | 0.928 |
+------------+---------------------+
@shedoesdatascience
shedoesdatascience / medium-table3.txt
Created August 9, 2020 00:40
+----------------+----------------+------------+-----------------+
| Predicted | | | |
+----------------+----------------+------------+-----------------+
| Actual | Non-Fraudulent | Fraudulent | Error Rate |
| Non-Fraudulent | 297 | 63 | 17.5% (63/360) |
| Fraudulent | 29 | 327 | 8.15% (29/356) |
| Total | 326 | 390 | 12.95% (92/716) |
+----------------+----------------+------------+-----------------+
@shedoesdatascience
shedoesdatascience / medium-table4.txt
Created August 9, 2020 00:45
+---------------------+----------------------------+
| Predictor | Rank (Variable Importance) |
+---------------------+----------------------------+
| Location | 1 |
| Company logo | 2 |
| Industry | 3 |
| Function | (a)4 (b) 5 |
| Salary range | (a) 5 (b) 8 |
| Department | (a) 6 (b) 4 |
| Required education | (a) 7 (b) 6 |
@shedoesdatascience
shedoesdatascience / medium-table5.txt
Created August 9, 2020 00:58
+----------------------------------------------+---------+--------+------+
| Predictor | Coef | OR | Prob |
+----------------------------------------------+---------+--------+------+
| Has company logo (True) | -1.5688 | 0.2083 | 17% |
| Industry – Consumer Services | 0.5842 | 1.7937 | 64% |
| Has company logo (False) | 1.5583 | 4.7511 | 83% |
| Required experience – Unknown | 0.5407 | 1.7172 | 63% |
| Required education – Bachelor’s Degree | -1.2558 | 0.2849 | 22% |
| Required experience – Mid senior level | -0.5168 | 0.5964 | 37% |
| Company function – Administrative | 1.0324 | 2.8080 | 74% |
@shedoesdatascience
shedoesdatascience / medium-table6.txt
Created August 9, 2020 01:38
+----+--------------+-----------------+--------------------------+---------------+
| ID | Income Level | Education Level | Number of Family Members | Outcome |
+----+--------------+-----------------+--------------------------+---------------+
| 1 | <=75,000 | <= 12 years | <= 4 | Purchaser |
| 2 | > 75,000 | > 12 years | <= 4 | Non-Purchaser |
| 3 | <=75,000 | <= 12 years | <= 4 | Purchaser |
| 4 | <=75,000 | > 12 years | >4 | Purchaser |
| 5 | <=75,000 | <= 12 years | > 4 | Non-Purchaser |
| 6 | > 75,000 | > 12 years | > 4 | Purchaser |
| 7 | > 75,000 | <= 12 years | > 4 | Non-Purchaser |
@shedoesdatascience
shedoesdatascience / medium-table7.txt
Created August 9, 2020 01:43
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+
| Advantages | Disadvantages |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------+
| Easy to Understand