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Name: Sushant Gandhi
Type: User
Bio: Data Scientist. Experience in Application Development, Data and Product Analytics, Machine Learning and Natural Language Processing. Python, SQL, Julia, R
Location: New Delhi, India
Name: Sushant Gandhi
Type: User
Bio: Data Scientist. Experience in Application Development, Data and Product Analytics, Machine Learning and Natural Language Processing. Python, SQL, Julia, R
Location: New Delhi, India
Text information from US companies' SEC EDGAR electronic filings
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Preparing for system design interview questions
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
For value investing dashboard
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Some thing interesting about visualization, use data art
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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.