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cheetsheets

Cheets Sheets

csc18

datacamp

Material from datacamp courses

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.

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

spark-df-profiling

Create HTML profiling reports from Apache Spark DataFrames

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

udacity-machine-learning-nano-degree

Udacity Machine Learning Nano Degree

udacity-mlnd

Udacity Machine Learning Engeering Nanodegree

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