Statistical Modeling Techniques

:mortar_board:RESEARCH [NLP :speech_balloon:] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generi

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biologic

Ever sent a hidden message in invisible ink to your friends? Are you intrigued by the idea of cryptic message exchange? How about using images for this exchange? Steganography is what you need! It is

This course, taught by Prof.Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course im

Winter 2020 Course description: Econometric and statistical techniques commonly used in quantitative finance. Use of estimation application software in exercises to estimate volatility, correlations,

Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantit

Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, probability theory and statistical physics to analyze and predict t

A comprehensive guide to applying statistical techniques in machine learning, including data preprocessing, model development, evaluation metrics, and real-world applications. This repository provides