Publications by Written by DK WC
ELFI - Engine for Likelihood-Free Inference: Python 3
ELFI - Engine for Likelihood-Free Inference: Python 3 Currently implemented LFI methods: Other notable included algorithms and methods: Installation Optional dependencies Installing Python 3 Docker container Potential problems with installation Reference ELFI is a statistical software package written in Python for likelihood-free inference (LFI...
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Image classification: With Google Cloud AutoML Vision API
1 Tasks: The Objectives is to teach how to use Google Cloud AutoML Vision API for images Classification how to upload a labeled dataset to Google Cloud Storage how to connect it to AutoML Vision with a CSV label file. how to train a model with AutoML Vision and evaluate its accuracy. how to generate predictions on your trained model. Of Cours...
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Introduction to Generalized linear models
1 The Approach of GLM The approach of GLM is to model a linear relationship between response variable and explanatory variables, by relaxing a) the assumption of constant variarance and b) the assumption of Gasussian error distribution. With maximized the likelihood estimation of parameter values from the pre-assigned probability density functio...
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How to build BigQuery ML classification
Code Show All Hide All How to build BigQuery ML classification 1 Objectives 1.1 Google Cloud Platform Console 1.2 Explore online google cloud ecommerce data 1.3 Create a BigQuery dataset to store the final model 1.4 Evaluate classification model performance with ROC curve 1.5 Improve model performance with Feature Engineering 1.6 Predict whic...
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Two-way ANOVA with Rstudio: Two-Case Studies
Code Show All Hide All Two-way ANOVA with Rstudio: Two-Case Studies 1 Butterfat content in cow breed groups and age groups 1.1 One-way ANOVA 1.2 Hypothesis Testing 1.3 One-way ANOVA Model Fit 1.4 Tukey Contrast Test: Log_Butterfat ~ Breed 1.5 Diagnostic check: Log_Butterfat ~ Breed 1.6 Tukey Contrast Test: Log_Butterfat ~ Age 1.7 Diagnostic c...
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Tukey Test Vs Kruskal-Wallis Rank Sum Test
Code Show All Hide All Tukey Test Vs Kruskal-Wallis Rank Sum Test 1 Different costs between different housing options in Stockholm 1.1 Log Transformation of housing cost 1.2 Hypothesis Testing 1.3 ANOVA Model Fit 1.4 Tukey Contrast Test 1.5 Diagnostic tools to check for normality and fit of model 1.6 Conclusion 2 Different stress factors eff...
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Customer Churn Risk Analytics in Telecommunication
Load data and model load("data/customer_churn.RData") model_keras = load_model_hdf5("model/customer_churn.hdf5", compile = FALSE) Customer scorecard inputs main_vars = c("tenure", "Contract", "InternetService", "MonthlyCharges", "OnlineBackup", "OnlineSecurity", "DeviceProtection", "TechSupport", "StreamingMovies", "PhoneService") comme...
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Bigtable: A Distributed Storage System for Structured Data
Bigtable: A Distributed Storage System for Structured Data Written by DK WC. 2019-12-25 ...
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Quadratic Assignment Problem: Optimization with Gurobi Solver + Python + Rstudio
Code Show All Hide All Quadratic Assignment Problem: Optimization with Gurobi Solver + Python + Rstudio 1 Base data 2 Operation cost for triplets commodity-source-destination 3 Demand pairs of commodity-country 4 Create optimization model 5 Create variables 6 Arc-capacity constraints 7 Model optimization 8 Print solution 9 Results Tabluation ...
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Mixed-Integer Linear Program (MILP) with RStudio + gMOIP Vs Gurobi
Mixed-Integer Linear Program (MILP) with RStudio + gMOIP Vs Gurobi Written by DK WC 2019-12-15 The Model with gMOIP \[ \begin{array}{lllll} \mbox{max} & 7.75x + 10 y & & & \\ \mbox{s.t.} & -3x + 5 y & \leq & 3 \\ & 2x + 9 y & \leq & 27 \\ & 2x + 10 y & \leq & 90 \\ \end{array} \] library(gMOIP) A = matrix(c(-3, 2, 2, 4, 9, 10), ...
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