Kunal Sharma's Projects
I am taking up the challenge to to Learn Machine Learning at least an hour everyday!!
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.
List of awesome resources for machine learning-based algorithmic trading
Graph Theory based Beam Search to find the Nearest Neighbors of a query in a d dimensional Metric Space
This repository contains code for C++ program for conducting Computer Based Test using C++ Graphics Library
CNN for stock market prediction using raw data & candlestick graph.
A technical report on convolution arithmetic in the context of deep learning
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.
Applied Computer Science Books
Computer Science Core Subjects Books Collection
Image dehazing using Steering Kernel weighted guided image filtering.
Computational Approach to Data Science of Astronomical Big Data
Data Science
The repo contains Python codes for some of the basic Data Science techniques and Simulation of some Statistical properties.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Deep learning library for solving differential equations and more
Discord Bot
Web App in Django and SQLite
DBMS-Project
Embedded JS Template
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
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.
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.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A robot powered training repository :robot: