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Name: Amit Nandi
Type: User
Bio: Masters in Mathematical Modelling and Simulation || Machine Learning Researcher || Python Ninja || Bash Lover <3 <3
Twitter: BoyInDaBox89
Location: India
Name: Amit Nandi
Type: User
Bio: Masters in Mathematical Modelling and Simulation || Machine Learning Researcher || Python Ninja || Bash Lover <3 <3
Twitter: BoyInDaBox89
Location: India
Word embeddings learned from 10-K documents
Github Pages
:mortar_board: Path to a free self-taught education in Computer Science!
This projects has models for detection human face's in given Image and also extends to identify the other information such as Gender, Emotion, Ethnicity
Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
A curated list of practical financial machine learning (FinML) tools and applications in Python.
Stochastic Optimization and Evolutionary Computing Algorithm implementation in python
Happy-Days-With-R is a repository of R assignments which I have solved during my master's at Centre for Modeling and Simulation in 2015-16.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Will contain script to setup mac for developing environment
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
Multi-Label Classifier in R
Code and data for Sato https://arxiv.org/abs/1911.06311.
Algo trade project in python
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).
Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊
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.