mustapha-wasseja Goto Github PK

elements-of-fda

Course materials associated with the 2022 LTCC course on Functional Data Analysis

emtutorial

Interactive tutorial on the Forward-Backward Expectation Maximization algorithm

esm-206-f2019-lecture-16-mlr

esm-206-labs-2019

Compiled lab materials for ESM 206 (Fall 2019)

favar

VAR and FAVAR models in R for 8th semester project

fecon235

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

fomctranscriptanalysis

Textual analysis of FOMC Transcripts. My research examines the relationship between words said during FOMC meetings, and changes in Federal Funds Rate. You can walk through my data cleaning, processing, and analysis process here.

geostat2018

Material for the course on machine-learning based environmental monitoring at geostat 2018

greta

simple and scalable statistical modelling in R

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ipa-stata-trainings

Houses IPA's Stata training courses and code.

itnr

International Trade Network Analysis in R. This package can clean and transform international trade data from WITS (http://wits.worldbank.org/) into a international trade network and undertake descriptive analysis

ivreghdfe

Run IV/2SLS with many levels of fixed effects (i.e. ivreg2+reghdfe)

janitor

simple tools for data cleaning in R

juliaworkshop2019

Collections of Tutorials and Demos for Learning Julia in Data Science and Computing

jupyter

Jupyter metapackage for installation, docs and chat

keio_dynamic_programming

Lectures on dynamic programming at Keio University

lectures

Lecture notes for EC 607

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

link-lr-ppd-and-domestic-epcs

machine-learning-algorithms

An introduction to Machine Learning Algorithms and code

machine-learning-for-finance-video

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

machine_learning_examples

A collection of machine learning examples and tutorials.

macro_ml

Course Website on Macroeconomic Analysis with Machine Learning and Big Data

macroeconomics-with-python

Macroeconomics with Python

mastering-machine-learning-with-r-third-edition

Mastering Machine Learning with R, Third edition, by Packt

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics