pseud0n1nja Goto Github PK

-gdp-analysis-niti-aayog

NITI Aayog: Background NITI Aayog (National Institution for Transforming India) is a policy think tank of the Government of India; it provides strategic inputs to the central and the state governments to achieve various development goals. In the past, NITI Aayog has played an important role in initiatives such as Digital India, Atal Innovation Mission and various agricultural reforms and have designed various policies in education, skill development, water management, healthcare, etc. NITI Aayog was established to replace the Planning Commission of India, which used to follow a top-down model for policy making, i.e., it typically designed policies at the central level (such as the 5-year plans)

0xdeca10b

Sharing Updatable Models (SUM) on Blockchain

a-deep-learning-based-illegal-insider-trading-detection-and-prediction-technique-in-stock-market

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf

ac_us_bank_int_2

acquisition-analysis-of-a-portoguese-bank-after-global-economic-crisis

Statistical Modelling and Analysis using Machine Learning Algorithms

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advanced-regression-generalisation-and-regularization

Introducing pipelining, Feature engineering and polynomial regression in python on US electricity consumption dataset. Regularisation parameter implementation (Ridge + Lasso)

ai-trader

Bitcoin / Crypto AI Trading Bot

aleo-project

aleo-stablecoin

stablecoin

amazing-pandas-techniques

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

angel-scraper

Data analysis of angel.co companies

apache-sqoop-cookbook

Apache Sqoop Cookbook

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aqr_asset_price_prediction

automated_trade_tariff_calculator

awesome-algorithmic-trading

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

awesome-climate-tech

A collection of awesome things regarding the Climate tech ecosystem.

awesome-cryptoeconomics

An awesome curated list of Cryptoeconomic research and learning materials

awesome-economics

A curated collection of links for economists

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-notebooks

Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

balancerpools-amm-explorations

banking-machine-learning

The purpose of this case study is to use machine learning to maximize revenue from marketing campaigns in the banking sector.

bayesian-pvalue-prediction-intervals

This repository provides a friendly way of computing the Bayesian P-value Prediction Interval for future P-values given an observed P-value according to the article, "Assessment of P-value variability in the current replicability crisis" (https://arxiv.org/abs/1609.01664; Authors: Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri V. Zaykin).

bcggamma

Code for BCG Gamma technical challenge

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.