ashwini-padhy Goto Github PK
Name: Ashwini Kumar Padhy
Type: User
Location: Canada
Name: Ashwini Kumar Padhy
Type: User
Location: Canada
My 100 Days of Code Repository - Contains my daily projects, code snippets and learnings throughout the challege
40 Algorithms Every Programmer Should Know, published by Packt
Code and associated files for the AI Programming with Python Nanodegree Program
Revision to the code and associated files for the AI Programming with Python Nanodegree Program
code_snnip
A beautiful, simple, clean, and responsive Jekyll theme for academics
License Plate Detection and Recognition in Unconstrained Scenarios
The open source version of the Amazon Forecast docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Codes related to activities on AV including articles, hackathons and discussions.
Mirror of Apache Arrow
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Analysis of frequently brought items (Market Basket Analysis) Using R
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of Machine Learning, NLP, Vision Project Ideas
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
AWS Glue code samples
Amazon Redshift Database Loader implemented in AWS Lambda
Want to buy or sell a car? What is adequate price? Machine learning to the rescue!
descriptionTools Used: R and SAS, Source: Jigsaw Academy’s Project Business Problem: Applied linear regression technique to formulate the pricing model of various car based on numerous attributes of the vehicle given. Approach: Exploratory Data analysis followed by linear regression
Technologies: Nutch 1.6, MapReduce in Java, Mahout. For selling a used car, its price can be predicted by giving some attributes. e.g. Car Model, total miles, engine type. Trained data will be provided to our system to predict the price for new data. Used Nutch to crawl car data from 52 states which is on craigslist.org. Over 0.3 million records were fetched. The content was then pruned using two MapReduce Jobs. The first MapReduce cleaned the data removing unwanted unicode symbols and incomplete data (information without car model or total miles or engine or price). The Second MapReduce extracted the required attributes and emitted in tsv format. This tsv was then provided to a Naïve Based Classifier in Mahout. A classification model was built from the training data. This models predicts the price when attributes like car model model, miles, engine was provided.
Starting files for the Udacity CarND Behavioral Cloning Project
Classify Traffic Signs.
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.