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Name: Rishabh Patil
Type: User
Name: Rishabh Patil
Type: User
Exploring novel NLP (and Artificial Intelligence) Techniques for a better ESG (methodology and) score computation. Aiming for a low-bias data driven framework.
This research aims to statistically analyse the causal effects of sleep quality on their stress Levels. Performed a covariate analysis based on the DAG and did a propensity score matching to analyse the causal effects of the treatment, sleep here on the outcome, Stress Levels.
Visualized the Jarvis March and Kirkpatrick-Seidel algorithms, both convex hull algorithms, using a React app and D3.js. This project showcases the step-by-step construction of convex hulls, providing an interactive and educational experience.
A shell based Python Script to check time clashes of your desired courses with your CDCs.
Resources for the machine learning track in the cruX Summer Group 2022
Created a custom bot trained on data taken from reddit comments to create embeddings to mimic sarcastic and slightly offensive behaviour. The user enters any general text and the bot will respond accordingly with text reply, an image reply of it's thought process and generate a song as a reply. Used GoogleGeminiPro, OpenDalleV1.1 and sunoBark-Small
This project develops a pairs trading strategy for the Automobile and Heavy Industries sectors. Using PCA for market indicators and the OPTICS algorithm for clustering, we identify potential pairs. Statistical tests, including cointegration and the Hurst exponent, are used to find mean-reverting pairs and using long/short position on the deviations
A robot powered training repository :robot:
This repository contains the code implementation and detailed explanation for a custom machine learning model that combines the power of Hidden Markov Models (HMMs) and Recurrent Neural Networks (RNNs) to provide more reliable volatility forecasts to forecast Conditional Value at Risk (CVaR) for credit spreads.
Implemented ML models like XGBoost, Fischers LDA, AdaBoost, SVM(multiclass), Decision Tree from scratch (without any libraries) and used them to train on Carbon Emissions dataset and Crime Rate dataset.
Developed a compiler for a subset of the PASCAL programming language, supporting integer constants, keywords, variables, expressions, assignments, conditional statements, loops, arrays, single-line comments, and read/write statements. This project involves lexical analysis, syntax analysis, semantic analysis, and code generation using LEX and YACC.
Developed a compiler for a subset of the PASCAL programming language, supporting integer constants, keywords, variables, expressions, assignments, conditional statements, loops, arrays, single-line comments, and read/write statements. This project involves lexical analysis, syntax analysis, semantic analysis, and code generation using LEX and YACC.
Simulating an application for a distributed graph database system involving a load balancer process, a primary server process, two secondary server processes (secondary server 1 and secondary server 2), a cleanup process and several clients.
Building and deploying a model that could crunch down the financial record data of companies to predict their market cap. Built up a model and selected essential feature variables on a custom dataset.
CPP code solution to check whether a given propositional logic proof is valid
Implemented Markowitz model and optimized using gradient Descent and Particle Swarm Optimization. Impolemented the Black Scholes Merton Model Option Pricer using Monte Carlo Simulations for European Options.
Modelled the Interest Rates, CPI, and Sensex50 using Vector Auto Regressive methods and estabilished Granger Causality along with Variance Decomposition and impulse Response functions, used filters for seasonality adjustments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.