Roy_aakasH's repositories
Diffusion_Limited_Aggregation_using_ML
Many attractive images and life-like structures can be generated using models of physical processes from areas of chemistry and physics. One such example is diffusion limited aggregation or DLA which describes, among other things, the diffusion and aggregation of zinc ions in an electrolytic solution onto electrodes. "Diffusion" because the particles forming the structure wander around randomly before attaching themselves ("Aggregating") to the structure. "Diffusion-limited" because the particles are considered to be in low concentrations so they don't come in contact with each other and the structure grows one particle at a time rather then by chunks of particles. Other examples can be found in coral growth, the path taken by lightning, coalescing of dust or smoke particles, and the growth of some crystals. Perhaps the first serious study of such processes was made by Witten, T.A. and Sander, L. M. and published by them in 1981, titled: "Diffusion limited aggregation, a kinetic critical phenomena" in Physical Review Letters. number 47. Rest of the article can be seen here: http://paulbourke.net/fractals/dla/
Robo-Trading-using-Machine-Learning
Hi everyone, currently I'm working on building a software which should return 4%+ return in every week. I've developed the planned alredy but currently I'm working on each of the specific projects which combined will make the software. Hope you guys will definitely contribute to this project. Thank you.
Application-and-Comparison-of-LinUCB-and-DivLinUCB-in-the-News-Recommending-System
This project is a comparison of performance between the LinUCB and DivLinUCB
Competetive-coding
C++ and Python programs for competetive coding
Deep_Minds-1_IE506_Course_Project_Code
Class-Prior Estimation for Learning From Positive And Unlabelled Data
Modelling-and-Computation-Lab
Introduction to software tools for modeling and data analysis Exposure to computational software for optimization. Use of some software tools such as AMPL/ CPLEX/ Spreadsheet Solver/ LINDO/ LINGO/ Neos Solver/ MATLAB for solving and analyzing optimization problems. Building models, representing input data, results, interpretation & sensitivity analysis. Exposure to statistical packages for data analysis. Use of R/ SAS/ SPSS/ Excel-spreadsheet. Summarizing data with descriptive statistics, computing statistics, statistical estimation & tests Notion of simulation and effect of randomness. Introduction to Monte Carlo simulation. Simulation of reliability, inventory, queueing systems and basic Markov models, computing performance measures.
news-fetch
A Python Package which helps to scrape all news details from any news websites