Skip to content

hbunyamin/hibah_internal-2019-world_development_indicators-codes

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
.ipynb_checkpoints
.ipynb_checkpoints
 
 
dataset
dataset
 
 
.gitattributes
.gitattributes
 
 
Analyzing_the_Time_Series.ipynb
Analyzing_the_Time_Series.ipynb
 
 
Calculate_Accuracies.R
Calculate_Accuracies.R
 
 
Exploring_The_Dataset.ipynb
Exploring_The_Dataset.ipynb
 
 
Exploring_WDI_Dataset.Rmd
Exploring_WDI_Dataset.Rmd
 
 
Exploring_WDI_Dataset.nb.html
Exploring_WDI_Dataset.nb.html
 
 
LinearRegression_Ridge_Lasso_Kafka.ipynb
LinearRegression_Ridge_Lasso_Kafka.ipynb
 
 
README.md
README.md
 
 
RidgeRegression_and_RandomForest_FeatureImportances_Updated_with_Indicator_Name-Stef.ipynb
RidgeRegression_and_RandomForest_FeatureImportances_Updated_with_Indicator_Name-Stef.ipynb
 
 
Time_Series_Forecasting_Stef.ipynb
Time_Series_Forecasting_Stef.ipynb
 
 
WDI_with_Pandas.ipynb
WDI_with_Pandas.ipynb
 
 
output-indicators-above-90.txt
output-indicators-above-90.txt
 
 

Repository files navigation

Codes from Internal Project 2019: Predicting GDP of Indonesia based on World Development Indicators

This repo contains codes for Predicting Indonesia's GDP from world development indicators.
These indicators are collected by World Bank.

The following links are Google Colabs for this research:

  1. WDI Time Series
  2. Time Series with Python Multivariate

About

Codes from Internal Project 2019: Predicting GDP of Indonesia based on World Development Indicators.

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages