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Name: Aditya Gogoi
Type: User
Company: Google
Bio: Data Science, Machine Learning, AI autodidact. Currently Big Data Solutions Engineer at Google Cloud.
Location: Sunnyvale, CA
Name: Aditya Gogoi
Type: User
Company: Google
Bio: Data Science, Machine Learning, AI autodidact. Currently Big Data Solutions Engineer at Google Cloud.
Location: Sunnyvale, CA
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Using Pandas package to analyze what Americans eat for Thanksgiving dinner.
Perform statistical analysis on movie review data using python.
Performing analysis on a clean dataset by making maps and visualizations.
Use of Deep Learning with Artificial Neural Networks for analysing the customer churn in a fictional bank.
:memo: An awesome Data Science repository to learn and apply for real world problems.
:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
Analysis of naming trends for babies for the last century from data collected by the Social Security Services in the US using Python and its data structures and functions as analysis tools.
Exploring Python Lists and general interface of Jupyter Notebook with its Markdown columns and analyzing births in the US.
Creating a blog website based on Bottle framework using Python as implementation language and MongoDB as database.
Data Programming Class Assignment at MSIS Georgia State University
Algorithms and data structures for review for coding interview.
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
Computing and Interpreting the Basic Statistics on a Linear Regression Model
MSA8010-CIS8005 class contents
Use of Deep Learning with Convolutional Neural Networks for Image Recognition.
This repository contains solutions from Cracking the Coding Interview by Gayle Laakmann McDowell.
Normalize data using relations in SQLite
Cracking the Coding Interview 6th Ed. Python Solutions
Python solutions to Cracking the Coding Interview (6th edition)
:bar_chart: Path to a free self-taught education in Data Science!
A curated list of data science blogs
code for Data Science From Scratch book
Literature references for “Designing Data-Intensive Applications”
This repository contains Jupyter notebooks with Deep Learning concepts gathered from the Udacity Deep Learning Nanodegree
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
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.