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nmarwen's Projects

1on1-questions

Mega list of 1 on 1 meeting questions compiled from a variety to sources

60_days_rl_challenge

Learn Deep Reinforcement Learning in depth in 60 days

arima-tools

Tools in C++ to forecast time series using ARIMA models

assessing-and-improving-prediction-and-classification

Source code for 'Assessing and Improving Prediction and Classification' by Timothy Masters

atree

Just a simple Christmas tree, based on reddit story

auto-py-to-exe

Converts .py to .exe using a simple graphical interface

Tried to make assessment of which feature vectors (i.e. team-based statistics) are more highly correlated to winning. The ultimate actionable goal was to drive greater revenues by helping management leverage existing fixed assets by develop the right mix of variable assets (i.e. cost of players vs benefit of players) in order to create an organization with a greater likelihood of winning.

blog

Source code and other material for my blog posts.

boom

:exclamation: This is a read-only mirror of the CRAN R package repository. Boom — Bayesian Object Oriented Modeling

bsmmr

C++ implementation for Bayesian spatial monotonic multiple regression

causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

dd-panel-blog

Code for Intro to Difference-in-Differences Blog Post

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-samples

Sample code for deep learning & neural networks

dll

Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

em-algorithm

Implements expectation maximization for a set of real numbers. Outputs the cluster with maximum BIC score.

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

flight-delays

Transfer learning for flight-delay prediction via variational autoencoders in Keras

forecasting

Time Series Forecasting Best Practices & Examples

genann

simple neural network library in ANSI C

gists

Easily find my gists

handson-unsupervised-learning-with-python

HandsOn-Unsupervised-Learning-with-Python, Published by Packt

hello_tf_c_api

Neural Network TensorFlow C API.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

kaggle-demand-forecasting-models

Demand Forecasting Models for Kaggle competition

nmarwen Goto Github PK

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