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Name: Sanjeev Ahuja
Type: User
Company: Consultant
Bio: #MachineLearning #programmaticthinking
Location: Sunnyvale, CA
Name: Sanjeev Ahuja
Type: User
Company: Consultant
Bio: #MachineLearning #programmaticthinking
Location: Sunnyvale, CA
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
## Wooldrige.db contains datasets for study of econometrics. `The below example imports db, explores data, uses visualization, formulates hypothesis and uses statistical model of regression on CEOs dataset.
Extract the data from a publically accessible API programatically, propose a schema and store it in Staging table.
Household water consumption prediction with Time Series Forecasting [R]: Utilized ACF, PACF and ARIMA modelling technique to forecast household water consumption accounting for periodicity with Fourier transformation
Study the effect of K folds on OLS with data generating process
Wooldrige.db contains datasets for study of econometrics.
Data Analysis using python
R exercises and examples
This involves a showcase of my work on MySQL creating ER, Dimensional modelling, inputing dummy data and using SAP UDT, IDT and Web intelligence for report generation
The app conducts analysis of the car reviews available on cars.com. It uses score of the words from AFINN lexicon to calculate the sentiment score and average sentiment score of each review. It checks each review for 4 tags Service, Handling, Inerior and Price. The sentiment Analysis is done on both sentiment sum and average sentiment individually and on all four tags. A Random Forest prediction model is used in this app to predict the Rating given by the user based on the sum of sentiment score and it tests the model on the reviews of the year selected by the user.
Utilized SparkSQL to read json file and search for count of weather
Utilized spark streaming to generate tweets associated with Donald trump and store them in JSON using Scala IDE
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.