Pinned Repositories
renkaru
Free Apps For Rental
hrms
HRMS App
-1-Website-Project
Still Design
-aks4r4-b-2-b
Project Aksara
AdminLTE1
WMS Dashboard v.1.0
arsanta-nuxt
arsanta-strapi
candra-asri
cdnpingendo
community-content
Contribute and collaborate on educational content for the Strapi Community
teoharianto's Repositories
teoharianto/sanity-mds-demo
teoharianto/project1-nur
nur website
teoharianto/teotikala
teoharianto/lkeix
lkeix profile repo
teoharianto/teoharianto
Config files for my GitHub profile.
teoharianto/django-asri
teoharianto/django-datatables-sample
Django - Datatables Sample | AppSeed
teoharianto/candra-asri
teoharianto/ytdefer
Deferred (lazy) loading of YouTube videos, to improve page load time
teoharianto/-aks4r4-b-2-b
Project Aksara
teoharianto/community-content
Contribute and collaborate on educational content for the Strapi Community
teoharianto/strapi-todoapi-postgresql
teoharianto/strapi-tikalaaa
teoharianto/mod-react-awesome-slider
teoharianto/react-awesome-slider
React content transition slider. Awesome Slider is a 60fps, light weight, performant component that renders an animated set of production ready UI general purpose sliders. 🖥️📱
teoharianto/tikala-1
teoharianto/notes-in-python
Simple notes app in python
teoharianto/Kaggle-Play
:seedling: Playing in Kaggle Playground
teoharianto/-1-Website-Project
Still Design
teoharianto/scrapping-youtube
scrapping youtube with python
teoharianto/DLC-BOOT-PASSWORD
Password DLC Boot
teoharianto/python1
Python Crash Course
teoharianto/arsanta-nuxt
teoharianto/arsanta-strapi
teoharianto/Titanic-Machine-Learning-from-Disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
teoharianto/AdminLTE1
WMS Dashboard v.1.0
teoharianto/myproject
my first project
teoharianto/mini.css
A minimal, responsive, style-agnostic CSS framework!
teoharianto/cdnpingendo
teoharianto/Kaggle-House-Prices-Advanced-Regression-Techniques
Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques