Optimising the Minkowski distance, part 3: removing redundant calculations written July 06, 2022 in python, machine learning
Optimising the Minkowski distance, part 2: broadcasting written June 29, 2022 in python, machine learning
Optimising the Minkowski distance, part 1: vector subtraction written June 14, 2022 in python, machine learning
Just enough linear algebra to understand the Minkowski distance written June 07, 2022 in python, machine learning
Exploring decision tree modelling with DataSpell written December 28, 2021 in python, machine learning
Finding your new favourite Christmas recipe using NLP written December 24, 2020 in nlp, machine learning
Automatic word2vec model tuning using Sagemaker written November 18, 2020 in aws, sagemaker, machine learning
Training and evaluating a Word2Vec model using BlazingText in Sagemaker written September 07, 2020 in aws, sagemaker, machine learning
Reading S3 data into a Spark DataFrame using Sagemaker written August 10, 2020 in aws, pyspark, sagemaker
Simplifying the normal equation with Gram-Schmidt written July 27, 2020 in maths, linear algebra, python
Working with matrices: powers and transposition written June 29, 2020 in maths, linear algebra, python
Working with matrices: addition, subtraction and multiplication written June 01, 2020 in maths, linear algebra, python
Making beautiful plots in Python (plus a shameless book plug!) written October 29, 2019 in python, ggplot2
Applying sentiment analysis with VADER and the Twitter API written April 15, 2017 in python, programming tips, text mining
Using VADER to handle sentiment analysis with social media text written April 08, 2017 in python, programming tips, text mining
Doing hierarchical clustering with a precalculated dissimilarity index written March 10, 2017 in r, programming tips, statistics
How do we feel about New Year’s resolutions (according to sentiment analysis)? written January 10, 2017 in python, programming tips, public data, twitter api, pandas
A crash course in reproducible research in Python written October 04, 2016 in python, pandas, virtualenvs, programming tips
Creating plots in R using ggplot2 - part 11: linear regression plots written May 11, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 10: boxplots written April 18, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 9: function plots written March 28, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 8: density plots written March 16, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 7: histograms written February 28, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 6: weighted scatterplots written February 13, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 5: scatterplots written February 04, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 4: stacked bar plots written January 19, 2016 in r, ggplot2, r graphing tutorials
Creating plots in R using ggplot2 - part 3: bar plots written January 07, 2016 in r, ggplot2, r graphing tutorials
What are the most popular Christmas movies according to MovieLens 10M? written December 23, 2015 in python, sql, web scraping, pandas, matplotlib
Creating plots in R using ggplot2 - part 2: area plots written December 22, 2015 in r, ggplot2, r graphing tutorials
Getting rJava to work in OS X El Capitan: A non-technical guide written December 16, 2015 in r, programming tips
Creating plots in R using ggplot2 - part 1: line plots written December 15, 2015 in r, ggplot2, r graphing tutorials
Analysing reddit data - part 4: data analysis written December 09, 2015 in python, programming tips, pandas, scipy, matplotlib, hypothesis testing
Analysing reddit data - part 3: cleaning and describing the data written December 02, 2015 in python, programming tips, public data, reddit api, pandas
Analysing reddit data - part 2: extracting the data written November 25, 2015 in python, programming tips, public data, reddit api, pandas
Analysing reddit data - part 1: setting up the environment written November 18, 2015 in python, programming tips, public data
Object-oriented programming in Python for a non-object-oriented programmer written November 11, 2015 in python, programming tips
Linear regression tools in R written November 04, 2015 in statistics, r, regression, programming tips
Interpreting linear regression coefficients written October 28, 2015 in statistics, r, hypothesis testing, regression
Using k-fold cross-validation to estimate out-of-sample accuracy written October 14, 2015 in machine learning, r, kaggle
Two-group hypothesis testing: permutation tests written October 07, 2015 in statistics, r, data simulations, hypothesis testing
Two-group hypothesis testing: independent samples t-tests written September 30, 2015 in statistics, r, data simulations, hypothesis testing
Interactive model decision trees in Stata written September 22, 2015 in stata, programming tips, consulting
A gentle introduction to the standard error of the mean written September 01, 2015 in statistics, r, data simulations
