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Name: Shiivong Birla
Type: User
Company: NTT DATA Inc. Australia
Bio: Machine Learning Engineer
Location: Melbourne
Name: Shiivong Birla
Type: User
Company: NTT DATA Inc. Australia
Bio: Machine Learning Engineer
Location: Melbourne
Here, our task is to analyze and predict Uber fare data. There are many small tasks that are needed to be done before moving on to analysing and predicting on the Uber data such as data cleaning, data imputing and data prediction.
In this project, I have collated data from different government sources to create an overall picture of the real estate in Australia.
Given a dataset and it's attributes, this R Shiny application determines the best model for the response variable given the set of attributes input.
I have demonstrated some of the Big Data Processing knowledge that I recently acquired at University. Such as, creating Spark sessions, manipulating dataframes, reading and writing from and to MongoDB and some EDA.
An all-purpose Business Process Mining R Shiny application which can perform computations on large event-log data to find out efficient resources, process bottlenecks, activity traces, processing time of resources and overall process summary of the data.
In this project, I have implemented a language analyser which investigates the linguistic characteristics of children with some form of language disorder. The analyser can perform basic descriptive statistics on a number of linguistic features in the form of visualization.
Classifying Song Genres from Audio Data using Machine Learning
This is a combat simulator which pits one army against another. The army combat is simulated through well defined rules, constraints and error handling.
we have addressed the problem of classifying highly unbalanced data using supervised machine learning algorithms. Unbalanced data is ubiquitous in nature, itβs dealt with in a wide range of fields including but not limited to that of business, bioinformatics, engineering and banking sector. We have focussed here on Credit Risk, which is defined as risk of default on a debt that may arise from a borrower failing to make required payments. In the first resort, the risk is that of the lender and includes lost principal and interest, disruption to cash flows, and increased collection costs. Usually in a Credit Risk problem, loan default is a rare phenomenon and that is why we have such unbalanced data.
A collection of computer vision pre-trained models.
Based on a prototype of a dustbin status tracking device, this R Shiny application reports the live statuses of a number of dustbins across the city. This application was designed with the purpose of managing waste in a smart way. I have made use of the javascript library leaflet which helped me bring out the features in the app that makes it come to life. The application also shows the data collected and also some basic visual analytics on the data which further help in answering some basic questions about the problem of waste management itself. The Shiny application can be found at : https://shiivong27.shinyapps.io/dynamic_geo-spatial_mapping_of_dustbins/ R packages used: shiny leaflet ggplot2
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Draft of the fastai book
Based on the latest 500 tweets extracted from Twitter of the comapany reviews by the employees of Google and Amazon. This is a comparative study of of how the two giants differ based on work-life balance, salary and middle management and which one beats the other on an overall basis.
All the Shiny Application development that took place in the final semester's Industrial Experience project as part of the Hygieia team.
https://www.kaggle.com/c/ieee-fraud-detection/
This is a fun application of image processing which enables you to experience the magic of an invisibility cloak. Let's make our childhood fantasy of using an invisibility cloak come true.
Emulate an invisibility cloak
NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
π A practical approach to machine learning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.