priauwindu Goto Github PK
Name: Putranegara
Type: User
Bio: Data Scientist and Analytics & Energy professional with over seven years of experiences in multiple roles and responsibilities
Name: Putranegara
Type: User
Bio: Data Scientist and Analytics & Energy professional with over seven years of experiences in multiple roles and responsibilities
Training a predictive model to forecast the house sale price in Ames, Iowa using Supervised Machine Learning Multiple Linear Regression algorithm with Stepwise Regression feature selection.
Deep dive analysis into analytics-related career and occupations. Alternate website: https://colab.research.google.com/github/PRiauwindu/Analytics-Occupation-Deep-Dive/blob/main/United%20States%20Analytics%20Occupations%20Deep%20Dive%20.ipynb#scrollTo=ac95be20
Performing Profit Simulation using Breakpoint Method and Profit Optimization using Optimise Function in R given the uncertain demands with unknown data for a hypothetical company named GWS.
Exploring the relationship between student test scores in California public schools with several factors using Multiple Linear Regression method.
This Python web application is designed to streamline the consolidation of data from multiple Excel files. Users specify a folder or subfolders within a folder as the input directory. The application then processes all Excel files within the provided directory, combining each sheet from every file.
Clustering analysis using k-means Clustering to analyze the dynamics of each country during the course of COVID-19 Pandemics
This GitHub repository contains data mining analysis on Airbnb rental properties in Monserrat, Buenos Aires, Argentina. The analysis focuses on delivering two key outputs to enhance decision-making for property owners and prospective tenants.
Simple Flask App to Predict California Housing Price using MLR to create a proof of concept of hosting simple pickle model on web app cloud.
k-means clustering model to predict iris flower species using the flower features (sepal/petal width and length)
Collection of US Job Market Exploratory Data Analysis Dashboard for Analytics-Related Occupation
Building K-Nearest-Neighbor classifier model using Spotify dataset to predict song preference of a given hypothetical person.
This repo analyzes the profitability of approving a bank loan for two projects by using Monte Carlo Simulation. Based on a Harvard Business Review case study, it considers cash flow uncertainty and investment returns. The analysis simulates various scenarios, offering insights for informed decision-making on the loan's potential profitability.
Stock ticker timeseries historical price data visualization with additional descriptive statististics.
Exploration on the Toronto Building Evaluation Result 2022
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.