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act6100

advanced_r_programming

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

analyse-r

Introduction à l'analyse d'enquêtes avec R et RStudio

anfis

:exclamation: This is a read-only mirror of the CRAN R package repository. anfis — Adaptive Neuro Fuzzy Inference System in R. Homepage: http://www.bdmg.com.ar

anfis-pytorch

Implementation of ANFIS using the pyTorch framework

backtesting-strategies

Book on backtesting strategies in R using blotter, quantstrat, FinancialInstruments, TTR packages

bar-chart-race

Function to make bar chart race in R

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bitcoin-price-prediction-using-the-machine-learning-neural-network-lstm-algorithm

Bitcoin Price is predicted using technical analysis (TA) methods and long-short-term memory (LSTM).

book-exercises

bookdown-demo

A minimal book example using bookdown

bookdown_demo

Bookdown demo project

books

Source code for 100+ books, kept here for quick reference

bootcamp005_project

Bootcamp 5 Student Project Presentation

bpgc

This repository contains the Matlab code for implementing the bootstrap panel Granger causality procedure proposed by Kónya (Kónya, L. Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978-992, 2006), which is based on the seemingly unrelated regressions (SUR) systems and the Wald tests with individual-specific bootstrap critical values, and accounts for both cross-sectional error dependence and slope heterogeneity across individual units.

btc_data

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

btup

Jupyter notebooks on financial engineering.

calcul_stochastique

Cours

casnet

An R toolbox for studying Complex Adaptive Systems and NETworks

cheatsheets

RStudio Cheat Sheets

coinmarketcapr

💰R package to get Cryptocurrencies Market Cap Prices from Coin Market Cap 💰

college_major_analysis

Optional assignment of Data analysis practice

cours-exo7

Cours d'Exo7

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

credit-card-default-prediction

Springboard Data Science course capstone project 1

csed

This repository contains the Matlab code for performing the cross-sectional error dependence tests in panel data models, including the Lagrange multiplier (LM) test by Breusch and Pagan (1980), the cross-sectional dependence (CD) and scaled LM (CD_LM) tests by Pesaran (2004, 2015), the bias‐adjusted LM test by Pesaran, Ullah, and Yamagata (2008), and the bias-corrected scaled LM test by Baltagi, Feng, and Kao (2012).

damlevelhydroelectric

Level of Dams in a Hydraulic Power Plant During a Flood

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)