firminayivodji

anatomy

Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

Factor-Models-Machine-Learning-and-Asset-Pricing-

Recent methodological contributions in asset pricing using factor models and machine learning. I presented Giglio et al. (2021) paper during Econometrics and ML reading group.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine_learning_economics

Machine Learning for Economics

ML-for-Econometrics

NLP_Quickbook

NLP in Python with Deep Learning

Python-for-Data-Science-and-Machine-Learning-Bootcamp

This comprehensive bootcamp will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

quantecon-notebooks-datascience

Jupyter Notebooks for https://datascience.quantecon.org

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

firminayivodji/anatomy

Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models

firminayivodji/Awesome-explainable-AI

A collection of research materials on explainable AI/ML

firminayivodji/BCF-Workshop

Materials for the mini-course on deep learning and macro-finance.

firminayivodji/causal-ml-auto-inference

firminayivodji/causalML-teaching

This repository consolidates my teaching material for "Causal Machine Learning".

firminayivodji/cemfi-presession-2023

Pre-session materials for the 2023 Unstructured Data in Empirical Economics at CEMFI

firminayivodji/CentralBankRoBERTa

CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary sentiment classifier that identifies the emotional content of sentences in central bank communications.

firminayivodji/Course-Text-Data-2023

Materials for PhD/Master Course "Text Data in Business and Economics"

firminayivodji/course-unstructured-data-23

Materials for the 2023 Unstructured Data in Empirical Economics course at CEMFI

firminayivodji/Crystal-Ball-Minimal-Working-Example

A MWE for the approach used in Byrne, Goodhead, McMahon, Parle (2022) and its companion paper.

firminayivodji/DSGE_mod

A collection of Dynare models

firminayivodji/ECON2206-Data-Management-2023

firminayivodji/END-to-END-LDA-in-Python

Practical introduction to LDA modeling with bigram frequencies in Python

firminayivodji/firminayivodji.github.io

Build a Jekyll blog in minutes, without touching the command line.

firminayivodji/FRA_IESE_seminar_2023

Materials for the 2023 Fundación Ramón Areces - IESE Machine Learning for Textual and Unstructured Data seminar

firminayivodji/GPT3_Demos

some demos of gpt3

firminayivodji/imf_2024

Computational economics workshop at the IMF, March 2024

firminayivodji/imfp

Python package for downloading economic data from the International Monetary Fund JSON RESTful API endpoint.

firminayivodji/Lectures_IIES

firminayivodji/machine_learning_full

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

firminayivodji/nber-workshop-2023

Code for the Spring 2023 NBER heterogeneous-agent macro workshop

firminayivodji/nndp

Dynamic Programming with Neural Networks

firminayivodji/pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

firminayivodji/pq_parsers

Script to parse text file downloads from ProQuest's Global Newsstream database into CSV of metadata and full text.

firminayivodji/predictive-modelling-with-machine-learning

firminayivodji/Short-Rate-Forecasting

This repository contains all the analysis for my master's thesis

firminayivodji/text_algorithms_econ

firminayivodji/topic-modelling-tools

Topic Modelling with Latent Dirichlet Allocation using Gibbs sampling

firminayivodji/Twitter_API_PY

examples of using Twitter API

firminayivodji/Weak-DID

Weak overlap in Differnce-in-Differences(DID)