Anmol Aggarwal (anmolaggarwal98)

anmolaggarwal98

Geek Repo

Company:University of Oxford

Location:London/Oxford

Home Page:https://www.linkedin.com/in/anmol-aggarwal-295619129/

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Anmol Aggarwal's repositories

Computation_Methods

MATH0058 Computational Methods, UCL

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Deep_learning-SGN

Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis

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Resume

Anmol Aggarwal Resume

Scaling-and-Squaring-Method-Dissertation

Composing Polynomials can be used to approximate matrix exponential, in a very efficient way. Here, we carry out this error analysis

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ValueAtRisk-

Calculating VaR for a given portfolio using Monte Carlo Sims

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Chaos-Theory

Numerical Methods of solving Non - Stiff ODE

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Optitrade

OxfordHack 2019: created trading strategy while competing in hackathon Nov 2019

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TradingPlatform

Ongoing project of creating a trading platform and different alphas to give a user to whole experience.

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Boundary-Value-Problem-BVP-

Approximates the function of a ODE with a boundary condition

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Neural-Networks-from-Scratch

Idea of this project was to understand the underlying mathematics behind a simple deep net (1 hidden layer) NN and

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BrickBreaker

My attempt at learning JavaScript by creating a simple single player game

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Fejer-Theorem

Approximates a given function by cesaro averages provided the function is Reimann Integrable and continuous in a given domain.

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FlappyBird

Flappy Bird

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langtangen

My notes on and solutions to the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.

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Lily

A chat-bot created to help lonely people recover from their depression. It uses Pattern Recognition and syntax analysis

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MonteCarloSimulation

An ever growing method of predicting future prices of a stock is MonteCarlo Sims and I have given a simple example below

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ProgrammingForFinance

Familiarizes you to using Pandas, mpl_finance, bs4 etc in financial environment and also Quantopian

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pysketcher

Python-based drawing tool for making sketches of mechanics problems.

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Steepest_Gradient_Descent

Steepest Gradient Descent

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