Pinned Repositories
twitch-graph-analysis
Graph analysis to explore how twitch communitites evolve over time
CheetSheets
Cheets Sheets
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.
spark-df-profiling
Create HTML profiling reports from Apache Spark DataFrames
Udacity-Machine-Learning-Nano-Degree
Udacity Machine Learning Nano Degree
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
grocerybot
Open source crawlers for groceries
JeroenSchmidt's Repositories
JeroenSchmidt/CheetSheets
Cheets Sheets
JeroenSchmidt/UvA_AML_Kaggle
1st Place Quora Question Pairs Competition for Applied Machine Learning 2018 @ University of Amsterdam
JeroenSchmidt/spark-df-profiling
Create HTML profiling reports from Apache Spark DataFrames
JeroenSchmidt/UvA-DSF-group
Group Projects for the Data Science Fundamentals Course @ University of Amsterdam
JeroenSchmidt/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.
JeroenSchmidt/Udacity-Machine-Learning-Nano-Degree
Udacity Machine Learning Nano Degree
JeroenSchmidt/CSC18
JeroenSchmidt/datacamp
Material from datacamp courses
JeroenSchmidt/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
JeroenSchmidt/dlaicourse
Notebooks for learning deep learning
JeroenSchmidt/great_expectations
Always know what to expect from your data.
JeroenSchmidt/machine-learning
Content for Udacity's Machine Learning curriculum
JeroenSchmidt/practicals2017
Deep Learning Indaba 2017 Practical content
JeroenSchmidt/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 ;)
JeroenSchmidt/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
JeroenSchmidt/pymc3-resources
PyMC3 educational resources
JeroenSchmidt/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
JeroenSchmidt/udacity-MLND
Udacity Machine Learning Engeering Nanodegree