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Some day I'll put something here, busy building an army of robots (i basically mean code).

Kunal Sharma's Projects

100daysofml icon 100daysofml

I am taking up the challenge to to Learn Machine Learning at least an hour everyday!!

applied.operator.theory icon applied.operator.theory

Semi Exponential Operators are special class in Exponential Operators with extra condition on Homogenous Differential Equation of Kernel Function, the research aims to find new class of Semi Exponential Operator based on p(t) analytic function with values different than Baskakov, Post Widder and Szasz Operators.

cbt_cpp icon cbt_cpp

This repository contains code for C++ program for conducting Computer Based Test using C++ Graphics Library

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cpp_reference icon 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.

data-science-meets-statistics icon data-science-meets-statistics

The repo contains Python codes for some of the basic Data Science techniques and Simulation of some Statistical properties.

deepxde icon deepxde

Deep learning library for solving differential equations and more

fbsnns icon fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

fin-ml icon fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

financial-engineering-mte-project icon 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 icon 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.

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