hkskunal077
I work in Data Analytics and Tech Team @ Amazon, graduated with a degree in Mathematics and Computing @ DTU, have a keen interest in Quant, DS and AI.
Delhi
Pinned Repositories
Beam-Search-in-Dimension-Metric-Space
Graph Theory based Beam Search to find the Nearest Neighbors of a query in a d dimensional Metric Space
Data-Science-Meets-Statistics
The repo contains Python codes for some of the basic Data Science techniques and Simulation of some Statistical properties.
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Dynamic.Query.Forms.For.Database.Queries
DBMS-Project
FBSNNs
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
Financial-Engineering-MTE-Project
The repo contains information about the implementation of FE MTE project on the topic of finding Ideal Selling Time under Capital Gains Taxation. In this project we will have some Python Files, Google Sheets and LaTeX Codes.
Football-Markov
The project aims to predict the Attacking Potential of Football teams based upon the statistics of 2011-12 English Premier League Table. A Markov Model is created where the field is divided into 3 parts, Defense Area, Midfield Area and Attack Area.
Mathematical-Books
Collection of Core and Advance Texts on important areas in Mathematics
ML-Algorithms-From-Scratch
ML Algorithms From Scratch
Optimal-Routing-Algorithm
Optimal Routing Algorithm using Floyd Warshall and Johnson Algorithm
hkskunal077's Repositories
hkskunal077/Volatility-Spillover-among-emerging-equity-and-commodity-markets
The project aims to find an optimal hedge ratio to diversity the portfolio of a risk averse investor to understand how simultaneous investing in commodity and equity markets can help create a long sustainable high growth portfolio.
hkskunal077/Beam-Search-in-Dimension-Metric-Space
Graph Theory based Beam Search to find the Nearest Neighbors of a query in a d dimensional Metric Space
hkskunal077/Optimal-Routing-Algorithm
Optimal Routing Algorithm using Floyd Warshall and Johnson Algorithm
hkskunal077/Spatio-Temporal-Interpolation-using-Approximation-Theory
The increasing amount of air pollution data requires efficient spatiotemporal interpolation methods to handle the demanding computational tasks. Several interpolation methods have been explored in the previous studies. Although many geographic information system applications provide interpolation tools, most current interpolation methods only apply to spatial data. Air pollution data not only have spatial attributes, but also change with time. When interpolating across space and time, the choice of the time scale versus the distance scale is an important issue that affects the accuracy of interpolation. In this chapter, we introduced some efficient deterministic spatiotemporal interpolation methods and search for optimal parameters to achieve good accuracy.
hkskunal077/Dynamic.Query.Forms.For.Database.Queries
DBMS-Project
hkskunal077/Football-Markov
The project aims to predict the Attacking Potential of Football teams based upon the statistics of 2011-12 English Premier League Table. A Markov Model is created where the field is divided into 3 parts, Defense Area, Midfield Area and Attack Area.
hkskunal077/100DaysOfML
I am taking up the challenge to to Learn Machine Learning at least an hour everyday!!
hkskunal077/CPP_Reference
This repository contains CPP concepts of literals, pointers, OOPS, polymorphism, preprocessor directives, Type conversion, Exceptions, Dynamic Memory which I have collected for my future reference.
hkskunal077/Data-Driven-Astronomy
Computational Approach to Data Science of Astronomical Big Data
hkskunal077/Data-Science
Data Science
hkskunal077/Deep-Learning-in-Space
hkskunal077/Discord-Bot
Discord Bot
hkskunal077/DjangoDiary
Web App in Django and SQLite
hkskunal077/Gene-Expression-Programming-Trading-Algorithm-Design-
hkskunal077/hkskunal077
hkskunal077/hkskunal077.github.io
hkskunal077/Image-Classification-using-CNN
hkskunal077/Interview.Preparation
For Tech and Non Tech Interviews
hkskunal077/kunal077.github.io
Personal Website
hkskunal077/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
hkskunal077/NEAT-AI-NeuroEvolution-Augmenting-Topologies
Generation evolving ANN, alters the weighting parameters and structures of networks, attempting to find balance between the fitness of evolved solutions and their diversity. GA is form of Topology and Weight evolving artificial Neural Network (TWEANN).)
hkskunal077/Python-Design-Pattern
A design pattern provides a general reusable solution for the common problems that occur in software design. The pattern typically shows relationships and interactions between classes or objects. The idea is to speed up the development process by providing well-tested, proven development/design paradigms. Design patterns are programming language independent strategies for solving a common problem. That means a design pattern represents an idea, not a particular implementation. By using design patterns, you can make your code more flexible, reusable, and maintainable.
hkskunal077/Python-Reference
Python-Reference
hkskunal077/Quantum.Computation
Quantum Computation using Qiskit which is an open source software development kit (SDK) for working with OpenQASM and the IBM Q quantum processors.
hkskunal077/rednafi
hkskunal077/Scalable-Data-Science
Algorithmic Techniques and Paradigms for developing scalable Data Science system
hkskunal077/stats_distro
hkskunal077/Survival.Analysis
hkskunal077/Task3-NLP
hkskunal077/Volatility-Modelling-using-Autoregressive-Heteroskedasticity
Using Statistical Autoregressive Models having Conditional Heteroskedasticity, we can model various upticks and downticks of any highly volatile digital asset such as NFT, Cryptocurrencies.