Name: Mustapha Mohammed, PhD
Type: User
Company: London
Bio: Research Fellow | Statistician with interest in
Applied Econometrics, Macroeconometrics, Bayesian Statistics, Health Econometrics and Medical Statistics.
Location: England, UK
Mustapha Mohammed, PhD's Projects
π’ Ready to learn! you will learn 10 skills as data scientist:π Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
A repository for 100 days of Code Challenge
The economics of skyscrapers: A synthesis toolkit
A framework for deploying self-contained R-based applications to the desktop
These are additions to compliment Byron Wallace's active learning module.
Advanced R programming: a book
Stata, R, SPSS, Social Science, Applied Econometrics
Advanced causal inference and research design course
Agent Based Model for Crime in Liverpool
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Code and accompanying data used in my book "An Introduction to Deep Learning"
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
data and scripts for the ASDAR book
Stata command for data cleaning
A curated list of awesome network analysis resources.
Azure Machine Learning
Hands-on material for the course text-mining BA, taught at VU Amsterdam
Figures and code examples from Bayesian Analysis with Python (third edition)
This is the repo for the Towards Data Science article, "The complete beginner's guide to data cleaning and preprocessing."
Notebooks about Bayesian methods for machine learning
A collection of questions and solutions to problems presented at Rasmus BΓ₯Γ₯th's Bayesian probabilities workshop.
Bayesian Statistics I / Bayesian Learning Course
Stata module to Import data from the Peruvian Central Bank (BCRP)
Bayesian Data Analysis course at Aalto
Code and examples from Business Data Science
Repository for OSM Lab Boot Camp 2017
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018