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demand-forecasting-models-for-supply-chain-using-statistical-and-machine-learning-algorithms

Internship project

diabetic_patient_readmission_rate_predictor

This application predicts the probability of a patient getting readmitted in less than 30 days based on several factors such as details of discharge, admission source, admission source type, whether patient was diabetic or not A1C test result, number of inpatient visits, number of diagnosis, number of emergency visits

diary_of_programming_puzzles

A collection of my solutions to some programming puzzles and common software engineering coding interview questions.

digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

drivendatacompetitions

factor_analyzer

A Python module to perform exploratory factor analysis.

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

financial-analytics

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Financial Analytics course.

forecastingtimeseries

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Forecasting Time Series courses

free-programming-books

:books: Freely available programming books

genetic-feature-selection

Experiment using genetic algorithms for feature selection in a machine learning task

ghost

github-slideshow

A robot powered training repository :robot:

globalgiving-depth

Gain a depth in insight into NGOs discovered through an automated process, by characterizing their work with NLP algorithms and other ML classifiers.

guidedlda

semi supervised guided topic model with custom guidedLDA

healthanalytics

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program Health Analytics Course.

healthcare-expectation-maximization

Demonstration of how EM Models can be used to cluster similar patients together to help evaluate risk groups and public health

ie-mbd-advanced-python

"Advanced Python" subject from the Master in Big Data @ IE

ie-nlp-2020

image-classification-transfer-learning

Categorizing food and grocery products using Transfer Learning from Inception V3

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

imylu

Pure Python implementation of machine learning algorithms

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

interviews.ai

It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

intro-to-ml-tensorflow

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

machine-learning

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Machine Learning courses

machine-learning-for-trading

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

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.