Jeroen Schmidt's repositories
CheetSheets
Cheets Sheets
spark-df-profiling
Create HTML profiling reports from Apache Spark DataFrames
UvA-DSF-group
Group Projects for the Data Science Fundamentals Course @ University of Amsterdam
UvA_AML_Kaggle
1st Place Quora Question Pairs Competition for Applied Machine Learning 2018 @ University of Amsterdam
datascience-learning
A collection of online courses, courses, and books I have gone through related to all things data science. Some topics include; machine learning, network analysis, statistics, dash boarding etc.
Udacity-Machine-Learning-Nano-Degree
Udacity Machine Learning Nano Degree
datacamp
Material from datacamp courses
Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
dlaicourse
Notebooks for learning deep learning
great_expectations
Always know what to expect from your data.
machine-learning
Content for Udacity's Machine Learning curriculum
practicals2017
Deep Learning Indaba 2017 Practical content
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
pymc3-resources
PyMC3 educational resources
statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
udacity-MLND
Udacity Machine Learning Engeering Nanodegree