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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
Example code for the book Fluent Python
To explore the extraction and movement of data from MySQL to Spark and its processing using SparkSQL. Please read the PDF for more information about the project.
Use of list compprehensions, modules, and datetime package to find patterns in US gun death data.
Notebooks and Projects as a part of Fast AI Deep Learning course
The Open Source Data Science Masters
A complete daily plan for studying to become a Google software engineer.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Just a sample repository.
Examples for High Performance Spark
IPython website sources. Any fixes to the website should be done on this repository.
To provide product recommendation using the Item Based Collaborative Filtering algorithm in Spark. Please read the PDF for more information about the project.
Using of K Nearest Neighbours algorithm to cluster player data from NBA 2016.
Predict survival of a passenger on the Titanic using Python, R, Linear Regression, Logistic Regression, Feature Engineering & Random Forests
Example code from Learning Spark book
Supplementary materials for the "Learning Scala" book from O'Reilly Media
Using Linear Regression to predict the most optimal plan for a loan application in R.
Predict which loans will be foreclosed on.
Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to predict the stock prices of Google.
A complete daily plan for studying to become a machine learning engineer.
machine learning and deep learning tutorials, articles and other resources
To provide movie recommendations using the Alternating Least Squares (ALS) algorithm of Spark's MLlib library.
A collection of machine learning examples and tutorials.
Transit Application Database in Mongodb
Classifying Cars By Countries of Origin using its other Features
An initial and very basic implementation of Natural Language Processing by the use of tokenization of CIA memos.
Jupyter Notebook Conversion
Predicting Iris flower species by using a basic implementation of Neural Networks.
Notes made on the book Python for Data Analysis, 2nd Edition.
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.